{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-05-17T18:21:47.017801Z",
     "start_time": "2017-05-17T18:21:46.989430Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "\n",
    "from __future__ import absolute_import, division, print_function\n",
    "import matplotlib as mpl\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib.pyplot import GridSpec\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os, sys\n",
    "from tqdm import tqdm\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "sns.set_context(\"poster\", font_scale=1.3)\n",
    "\n",
    "import missingno as msno\n",
    "import pandas_profiling\n",
    "\n",
    "from sklearn.datasets import make_blobs\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Uncomment one of the following lines and run the cell:\n",
    "\n",
    "# df = pd.read_csv(\"redcard.csv.gz\", compression='gzip')\n",
    "# df = pd.read_csv(\"https://github.com/cmawer/pycon-2017-eda-tutorial/raw/master/data/redcard/redcard.csv.gz\", compression='gzip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def save_subgroup(dataframe, g_index, subgroup_name, prefix='raw_'):\n",
    "    save_subgroup_filename = \"\".join([prefix, subgroup_name, \".csv.gz\"])\n",
    "    dataframe.to_csv(save_subgroup_filename, compression='gzip', encoding='UTF-8')\n",
    "    test_df = pd.read_csv(save_subgroup_filename, compression='gzip', index_col=g_index, encoding='UTF-8')\n",
    "    # Test that we recover what we send in\n",
    "    if dataframe.equals(test_df):\n",
    "        print(\"Test-passed: we recover the equivalent subgroup dataframe.\")\n",
    "    else:\n",
    "        print(\"Warning -- equivalence test!!! Double-check.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def load_subgroup(filename, index_col=[0]):\n",
    "    return pd.read_csv(filename, compression='gzip', index_col=index_col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "clean_players = load_subgroup(\"cleaned_players.csv.gz\")\n",
    "players = load_subgroup(\"raw_players.csv.gz\", )\n",
    "countries = load_subgroup(\"raw_countries.csv.gz\")\n",
    "referees = load_subgroup(\"raw_referees.csv.gz\")\n",
    "agg_dyads = pd.read_csv(\"raw_dyads.csv.gz\", compression='gzip', index_col=[0, 1])\n",
    "# tidy_dyads = load_subgroup(\"cleaned_dyads.csv.gz\")\n",
    "tidy_dyads = pd.read_csv(\"cleaned_dyads.csv.gz\", compression='gzip', index_col=[0, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Joining and further considerations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "No module named 'pivottablejs'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-294e79a4edc1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[1;32mfrom\u001b[0m \u001b[0mpivottablejs\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpivot_ui\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m: No module named 'pivottablejs'"
     ]
    }
   ],
   "source": [
    "from pivottablejs import pivot_ui"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "clean_players = load_subgroup(\"cleaned_players.csv.gz\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "temp = tidy_dyads.reset_index().set_index('playerShort').merge(clean_players, left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(373067, 10)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# This does not work on Azure notebooks out of the box\n",
    "# pivot_ui(temp[['skintoneclass', 'position_agg', 'redcard']], )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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BAAAAAACSpDHr5VFZWTmoHdmll16qdevW2U7g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\nzEKdCy+8UCeddJIVTLz44ou69tprtWfPnkHXHThwQDfffLN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O9Lw4VAPERkFuumaU5tjW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ocvTQCSw7mVRcrNSrOsh8KmPvy4RabJNmwAAAAAgMTiJ2cAgITzB0Pq6Q9Y1ouY0gGQRNxul1ac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\n9bcCrFQqMXXqVKnwcvL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MHj3aod+PaChkWUZqaqrJhE50dDQOHTpk9YSOIi4uTvxN/u9/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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc7b35457b8>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 546,
       "width": 826
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# How many games has each player played in?\n",
    "games = tidy_dyads.groupby(level=1).count()\n",
    "sns.distplot(games);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total games refereed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>refNum</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1214</th>\n",
       "      <td>5598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2080</th>\n",
       "      <td>4773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1942</th>\n",
       "      <td>4469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2398</th>\n",
       "      <td>4363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3099</th>\n",
       "      <td>4087</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        total games refereed\n",
       "refNum                      \n",
       "1214                    5598\n",
       "2080                    4773\n",
       "1942                    4469\n",
       "2398                    4363\n",
       "3099                    4087"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(tidy_dyads.groupby(level=0)\n",
    "           .count()\n",
    "           .sort_values('redcard', ascending=False)\n",
    "           .rename(columns={'redcard':'total games refereed'})).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total redcards given</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>refNum</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2073</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        total redcards given\n",
       "refNum                      \n",
       "468                       49\n",
       "432                       49\n",
       "449                       47\n",
       "916                       42\n",
       "2073                      36"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(tidy_dyads.groupby(level=0)\n",
    "           .sum()\n",
    "           .sort_values('redcard', ascending=False)\n",
    "           .rename(columns={'redcard':'total redcards given'})).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total redcards received</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>playerShort</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cyril-jeunechamp</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sergio-ramos</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gary-medel</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ballesteros</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>juanfran</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  total redcards received\n",
       "playerShort                              \n",
       "cyril-jeunechamp                       19\n",
       "sergio-ramos                           19\n",
       "gary-medel                             16\n",
       "ballesteros                            15\n",
       "juanfran                               15"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(tidy_dyads.groupby(level=1)\n",
    "           .sum()\n",
    "           .sort_values('redcard', ascending=False)\n",
    "           .rename(columns={'redcard':'total redcards received'})).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>redcard</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>refNum</th>\n",
       "      <th>playerShort</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>lucas-wilchez</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>john-utaka</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">4</th>\n",
       "      <th>aaron-hughes</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aleksandar-kolarov</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alexander-tettey</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           redcard\n",
       "refNum playerShort                \n",
       "1      lucas-wilchez             0\n",
       "2      john-utaka                0\n",
       "4      aaron-hughes              0\n",
       "       aleksandar-kolarov        0\n",
       "       alexander-tettey          0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidy_dyads.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "refNum\n",
       "1214    5598\n",
       "2080    4773\n",
       "1942    4469\n",
       "2398    4363\n",
       "3099    4087\n",
       "933     3901\n",
       "487     3626\n",
       "1903    3612\n",
       "756     3610\n",
       "88      3560\n",
       "1646    3541\n",
       "2902    3466\n",
       "1811    3450\n",
       "194     3324\n",
       "1909    3168\n",
       "916     3079\n",
       "2042    3041\n",
       "1696    3013\n",
       "2370    2962\n",
       "449     2956\n",
       "468     2947\n",
       "1706    2817\n",
       "432     2756\n",
       "2803    2701\n",
       "1707    2687\n",
       "641     2655\n",
       "77      2646\n",
       "2796    2640\n",
       "274     2545\n",
       "1108    2493\n",
       "        ... \n",
       "1837       1\n",
       "1768       1\n",
       "2648       1\n",
       "1775       1\n",
       "856        1\n",
       "2677       1\n",
       "2675       1\n",
       "853        1\n",
       "1789       1\n",
       "348        1\n",
       "2659       1\n",
       "2656       1\n",
       "2651       1\n",
       "842        1\n",
       "354        1\n",
       "1798       1\n",
       "1833       1\n",
       "1800       1\n",
       "1801       1\n",
       "1802       1\n",
       "361        1\n",
       "831        1\n",
       "2631       1\n",
       "1827       1\n",
       "2627       1\n",
       "825        1\n",
       "824        1\n",
       "2620       1\n",
       "2616       1\n",
       "1          1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidy_dyads.groupby(level=0).size().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "total_ref_games = tidy_dyads.groupby(level=0).size().sort_values(ascending=False)\n",
    "total_player_games = tidy_dyads.groupby(level=1).size().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "total_ref_given = tidy_dyads.groupby(level=0).sum().sort_values(ascending=False,by='redcard')\n",
    "total_player_received = tidy_dyads.groupby(level=1).sum().sort_values(ascending=False, by='redcard')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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fvn3p9vXXX9/6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\nyNz/A9EhuOR/zqRTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc7b2959b70>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 546,
       "width": 786
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(total_player_received, kde=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MAAAF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\nAMg0YQcAAAAAAJBp/w89Ej3QlAomGwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc7b2823eb8>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 546,
       "width": 797
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(total_ref_given, kde=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>redcard</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>playerShort</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cyril-jeunechamp</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sergio-ramos</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gary-medel</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ballesteros</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>juanfran</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  redcard\n",
       "playerShort              \n",
       "cyril-jeunechamp       19\n",
       "sergio-ramos           19\n",
       "gary-medel             16\n",
       "ballesteros            15\n",
       "juanfran               15"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidy_dyads.groupby(level=1).sum().sort_values(ascending=False, by='redcard').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(redcard    3092\n",
       " dtype: int64, redcard    373067\n",
       " dtype: int64, redcard    0.008288\n",
       " dtype: float64)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidy_dyads.sum(), tidy_dyads.count(), tidy_dyads.sum()/tidy_dyads.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "player_ref_game = (tidy_dyads.reset_index()\n",
    "                               .set_index('playerShort')\n",
    "                                       .merge(clean_players,\n",
    "                                              left_index=True,\n",
    "                                              right_index=True)\n",
    "                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>refNum</th>\n",
       "      <th>redcard</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "      <th>skintone</th>\n",
       "      <th>position_agg</th>\n",
       "      <th>weightclass</th>\n",
       "      <th>heightclass</th>\n",
       "      <th>skintoneclass</th>\n",
       "      <th>age_years</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>playerShort</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>aaron-hughes</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>Defense</td>\n",
       "      <td>low_weight</td>\n",
       "      <td>mid_height</td>\n",
       "      <td>[0, 0.125]</td>\n",
       "      <td>33.149897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaron-hughes</th>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>Defense</td>\n",
       "      <td>low_weight</td>\n",
       "      <td>mid_height</td>\n",
       "      <td>[0, 0.125]</td>\n",
       "      <td>33.149897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaron-hughes</th>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>Defense</td>\n",
       "      <td>low_weight</td>\n",
       "      <td>mid_height</td>\n",
       "      <td>[0, 0.125]</td>\n",
       "      <td>33.149897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaron-hughes</th>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>Defense</td>\n",
       "      <td>low_weight</td>\n",
       "      <td>mid_height</td>\n",
       "      <td>[0, 0.125]</td>\n",
       "      <td>33.149897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaron-hughes</th>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>Defense</td>\n",
       "      <td>low_weight</td>\n",
       "      <td>mid_height</td>\n",
       "      <td>[0, 0.125]</td>\n",
       "      <td>33.149897</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              refNum  redcard  height  weight  skintone position_agg  \\\n",
       "playerShort                                                            \n",
       "aaron-hughes       4        0   182.0    71.0     0.125      Defense   \n",
       "aaron-hughes      66        0   182.0    71.0     0.125      Defense   \n",
       "aaron-hughes      77        0   182.0    71.0     0.125      Defense   \n",
       "aaron-hughes      77        0   182.0    71.0     0.125      Defense   \n",
       "aaron-hughes      77        0   182.0    71.0     0.125      Defense   \n",
       "\n",
       "             weightclass heightclass skintoneclass  age_years  \n",
       "playerShort                                                    \n",
       "aaron-hughes  low_weight  mid_height    [0, 0.125]  33.149897  \n",
       "aaron-hughes  low_weight  mid_height    [0, 0.125]  33.149897  \n",
       "aaron-hughes  low_weight  mid_height    [0, 0.125]  33.149897  \n",
       "aaron-hughes  low_weight  mid_height    [0, 0.125]  33.149897  \n",
       "aaron-hughes  low_weight  mid_height    [0, 0.125]  33.149897  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_ref_game.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(373067, 10)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_ref_game.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bootstrap = pd.concat([player_ref_game.sample(replace=True, \n",
    "                                              n=10000).groupby('skintone').mean() \n",
    "                       for _ in range(100)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kMk1TkyZN0ooV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TMiClxPHFsPLi3vUjmLpAy1QrXpHcDEWyrsyLogtp1JXZGc1DOu958ChqcCZWTUXb0iZmIJVn\nITXrm42xuyms0+G8v2vCrKkIT6c7jTWRdp0rfH58UlEk2WoY2LJ8JCOvXE0XaI/y4bO8+O0G0DS1\n3E2XQK7UiX0XuWkdpJcVvhZ1rr85sUlomsOiIvLrExsXA29tN8OyrycT4OXhAEfnQ1g1Fa9PbdRG\nbtqqWWvvYt6iUMaRTYvIPmNzMaowR6r0/ejrWbPriMsTRgnCKNl4UwwDCgIUn3ZTFb7WRuJV+jWH\noYn8MeXb0q9vUpTgptxBl3VGrUJWWA+jJHU/+2lzlOulX4dRgn/+7UnuPhoMQ3Ldr0FdF2lqREFE\naudi0vjnpnH7mqnuEjfNyU4QxN2DhCaCIAhiIbqmoGWms04AwNAV2MOx0KTwdLBuxjqLVD4azj4Z\nBfbmxMFnr7ulyLwgkjjtuRg4AaxatZAEAP1hgB/+q6fgnN2IIuq7QEqJgRui008FoyzCrtP3S8KS\nH5KIVIWm8lQsmnAeFR1JbUuDKu5vDOM6Hc6cM7y318B5z0fX9hHHqUOxpgnUDAFTFwtjACdFEk3l\nSKQsxWMWGXrRzOLRdc1puIncpA7SywpfizrXPSrgz2VREfnjlxeoGdWXj+scQ1WvJxPgzakNN0hj\nb2tGE44XwXbDmbPWbvq8xdQtpaJuqHi8s/j+YZQUIvzCfIZU1feDYUhuqRuARLofXsW+mCUJ6CqH\nXhClJmMBp4WtGRGCha9XXQdvKnZrUy7FRErYbpg6jPK5RwX3ke3jvJ+K4zSDbXUYSxt02qZeISIV\nXEmmBk29v+vg28RNc7ITBHH3IKGJIAiCmEkWh3Xe83DW8zBwAnCFoaYp8IM4j4zYKsxA2PQilXNW\nEpmKuH6MnaYBReGV91GFgmcPrLyQetdIEon+MBg5kEYCUmkukofOICi5z4iULMZuq+RA0goRdunP\na7pCnZcLWLfDOYwTfO29rVIcphCpaN22dARLiJ9FkWRRl+Yyf8ddPE/cNi4jfC2KhDF0uvSZx6Ii\n8WnXxXuPGvn3MkHp+H175uAH33qydCNH1et1bT//ycR6aQAAIABJREFUPM9mA6oKQxBJuMH0rDVg\nvot61VjPm4AqOLabBrabxsL7SinheFFBfBrH+eXf5+6pAK5/s0U5Ypo4kSMnDgBUizPrIhQ+clDx\nKTdVlUB1fDFEkkj4YYwgjCFl2pDTMtNmnJaVzlfU1PlRgovWDa9PBqjpSh5R17N9dItfO6P9m2Ip\n10JT+Vg8KghHzZILSUejpt7Y8ySxHjfNyU4QxN2DrrYIgiCISoqxFoYmYGgKEqnB9SI4boRtS0cQ\nJ6jpAh8+aaFuiCtZpMZJ+hpVUTI1XYGEnJrdlBWrn9ziBXMUJ+jZIxGpQkDqDtKLbrrAniaNscsc\nSNrEDKT0/0ZdnXK8EOuxboezrimI/QhbTX2qcJzdvgqLujQ5WB6tt8rveZ+5bUX6RWLjUxIS57JI\nqCtSdB5lON5q0VdVr9dz/PxrVUkf37I0nHa9/PbJ88UsF/WseK7fHXTx21cXaNZTQfum79fzYCyN\nN7Zq6lJu8jCK0R/NjirNlsrnShXEKjdc6CwlbjdRnMB2E9ju5p7zf/kPn6ZRgrkLazo2sGcHUBQG\noXAwhpGQFsMN0ji7IKQGqXVo1NVcJGqbGppW2Y3UtnQ0zXQWKHF/uUlOdoIg7h70CUMQBEFUUoy1\nYBxTYs7+nok/+aOdKy/MhGGC/T0zjcSwA4SxhKqkbpTdpoHzgQ/GUVmsfnJD7f9hFJeEo+6gGGPn\n4WLgo28HlBE/ga4qI7FoxiykUWemKm7OPIO7wjzBYd3BwpvOia/q0lRVDoVz+GGMl0f9udF66w5A\nvqtc5wyNTTFPbGxZGt571EScSLw66uO3n5/B9aNbLTJsmkXH5F67ln9ddB5lZMLQstFXVa8XRgmG\nXgjXj1EzBF4e9tE0VegjJ3UUlT8Z57moq+K5EilxcOrA9SPstVKh+6bv15tEFQp2Wgp2WvPdUpwz\nbG2ZsN0Q3YGHV2976Nl+7pIqxfeNhCua40hkSAB+GKexzMPNzsO6bwglbZ4rRte187lH6c/bVtpA\ndZPmeREEQRD3ExKaCIIgiEomYy0mxZy6Lq6lEyp1PUhsNQxsNcqFEZkAUVLd9fiucqa9IMpFpE5R\nQOp7+febHkJ9F6jpAqYhUDcEanr6f10X+NJ+C1951kbb0mFoFGP3LlgkODzcquPFUX/m42cJRleR\nE1/s0pz8vRt1Dac9F6ddD7YbYX/PLIlNNAC5zKZmaFwn8yJhst/1Xz4+QmfgY+hHSKS8VyLDLDIh\n+eDMxsGJjTBO8gjLbB5S29Tx/FEzP9Yz55GUMncjZMJQy9JwcKYs3D8mzwEyAfpOgKEfQVMV1DQF\nQZTgrOfD0FJxxA9iKIwtJRBWxXP1bD93SE+6o27qfv2u4JyhaaZxWqbKF7qb/DDGYDQ3qudk7qjC\nXKlCnN9gGEBSNw1xj6nrYspp1LamZyGZhqC1L0EQBHFrIKGJIAiCqGRTA38vy6wO62w2hGmo6A18\nOH4E01DxaLuOJ7ub707PimkXRRGp702JSlURf/cZzhi2GtpIKEzj7LYbOraa6fdtU8PL40Gl+NY2\ndXzrw517Wfi9SSwSHLYbBlqmtpJglBW2/TC+suN38vduWzpsN8yjeXq2n4vXNAB5mnVmb92EqL1Z\nkTCcM7w66qMz8Csfd19FhklB9uFuHQcnNn5/0AUA7O9a+PKzNv7k+TY4Z7gYeOg5AaJIQkqJrh0g\nCOOSMHTa9TB0I3z/aw/nbvdJYfDwfAhDE+AKQ10vF1e9IEajruIH33pSuY2q9r3D8yGadS0XywCg\nZ4/PCZPuKIBmtV0GXVWgt2rYbdUW3jdJJGwvzKP6/CCGF6aRaenX6QwgP4hzZ0zp69H9su+zmaEE\n8S7hnKWiUV0dCUcamubIcZ+5j0biraaSi5ogCIK4e5DQRBAEQeQUCzUvDkcxUxNdzRlZzNRVFxar\nXA/ZbAgw4Ilpoh+mha6hG8EPIjzarq/0GlJKDNwQnf44vq5j++j0/ZKw5IcUC1NEKBxbDR2a4NBU\njrqh5q6kuqHi8VYdf/qNhxALouy2m8Y7L04TKVXH83nPg64rM2daHXeG+N5XHyy9DScL262GjlYj\ndRVoKt/Ydq9yZRYjQAdOiP1di/a1GazabHAbovbenNhzb7+PIkNRkE2kxOHZEH6YoGWlx2RNF3C8\nEL9+cY5vf7ibC0Nvzxycdl0kiYRVV6eEoTBOlhLuisLgTz85RrOuTc1+yp8zkjOF66p9rzPw0HcC\nPN2z8jVMGKfikpSAH8V4edgvzXbkTToPXAecMzTrGpp1DfsbeL4kkfBH4pQ3EqWCMIEXRvCDJBWt\nwhheEOdfl8WrBH4Qpf9P3EazMAldVcYi0UR0XXsU5/z82TYapgaFM5yf2zTfjCAIgriXkNBEEARB\nAJgu1DRMFaddD6c9F7Yblgo1QOo0uo7CYlUUkh2EsOoCzbqOt2dOqSDVdQL8/HcnuBh4+PaHuwCA\n/jAYOZBGIlIp1s5DZxAgiqkbtohQGExDzSPsMvHINAS2mzp+8K0nsGoqGGOXFhtpKO3NYNbxfHDq\nQNeVUtRc5ijsOT7iUeH28Y6J7331wcJtPlnYnpy/FsUS3/3K3qXPHVVCSTECVGEM3//6w0u9xl1m\n1dlbq0btvQv3k7fAcXpdTt2bRFGQLcbK5T8bxcsVt+GzBxZ+8K0n+E8/ez1zqHzL1FcW7vwgrpwJ\nmYlAO02jct84OHPQsf2pcwljwNAP0bXHEXmqwuCHEt2BD13jCKJ0YRNEEqc9F2EcI0nkOxdFidXg\nnKGmp9G7rQ0/dxSnQpU3Ep6CMIE3EqWqBKyymDVbwPLDmOID3zGNulpyGmVxdcVIu5alwdDml804\nZ2g39Ln3IQiCIIj7AAlNBEEQBIDpImHL0mG7acSUG0SlQk0WM7VKYfEyRcVJIeKnnxxj6Ec473ro\n2j6CKL3wD8IYfpTg9296+G8fHeN//Q+fwnZD6kadoK6LtNiexdiNYu22R9F2Qz/Cm1N7Zib8h09a\naNS1/HsSiu4Gs45nIVgpai5zFGYCryb4SgJzVthOpMTBqVMqbAeRxEcvziEUdmmhelWhhCgzK7a0\neHuRVaL23pX7ydAFnDkz8u7jPlEU14qxchnFeLniNtzfNaEKjqAisqyuCbQtfWXhLjtmJ2dCZhh6\n9fY5OLMrzyVSSgy9CF3by5+rZWn44jB1RFeJZKrg9zJCkZiNUDiEkrq2N4mUEmGUzIwDLItb5a8n\n7zspYAXh/W2e4gwQgkMTClTBoQmOuiHwcKuOuiHwpactfPXZFhp1FUKZ77gnCIIgCGI1SGgiCIIg\nAEwXCTlj2N8z8w7hwTDA/p5ZEoeWLSyuU1QMwhgnnSHOe14pvq4z8PHqeADHC+H696/7fBGNujoS\njcYzkUpzkSx9YTE1SSRsN1xp5g5x+5k8njPXkuNG6AxSt8CX9lk6r6zgImxZY9FxmTk3WfG5yj0B\npIXtec+zjGidJBKMMbw87OfuhpaVditnrqxJoYQoUxVbmlF1Hlglam9V99OmePrAwqdfdGbefh/3\niaIgm8XKFRFi/Nlc3IacM3xpv423Z07uPFIUBs4ZwjjB5wc91GsCr0/sqYaSWcfww606Xhz1Z/6u\ns7bP8fmw8lzCGEPdEFA4R10X8IMYj3dMXPR81BJlqpmipgu0rNWdWASxDowxaKoCTVXQ2PBzJ1KO\nBalJEWo0A2v66/S+xflYxa+HfjpDK3lHNixN8Ny1ZmgKOE/XI0Lh+Np7bdQNFVICqsrw9mx8TpAS\ncL0IYZQgO+JtN0TL1Ga/GEEQBEEQa0FCE0EQBAGgukjIGRu5XYzKmKlZhcUsDuvVUTrg2XZDeGFU\nKvJmZEXFvbaB//c3R/jF78/x+niA/owi5H2FIS3ob1U4kLZyEUmDKi7fkV8VV0hzk+4+xeO56FoS\ngkFVOfwwwWnPxWAYwKppYGxcmC2yqEibFbar3BPAuLBd9TzLiNYA8KvPz2APQyicI4iiNBar68F2\nI+zvmdi2DBJMF7DqeWAVB1lVk0IxRvHV0QBfe39r4+ec9x41cXIxRGfgT912X0X0onNNVRiCqFxE\nbpnj43uySeHJrgk3iLDV1KecjgBQ05WphpJ5x3CzpqFRVzEYTrvO5m0fZ85+xxiDELy0fvGDGBcD\nrxSzVxSi72OEInG34IzB0ASMDWgpSSLxs89O8dGLc4SxhOCAWVNRN1QkiUQYJ3jYrqNlabmgNTkr\naypecCRyZTOwzJpamntUnH/04qgPBkAZuY+qXNVbTQMvD/tQOMfTPStvlOsOApx2XcSJhBAqHu+Z\n8IL4Rs0OJAji3cQpEwRxNZDQRBAEQQBYL2aq6jHFOCxNcMRS4rgzRBAleZF3Umz64qiP/+0/forf\nH8yOabrLKJyhbWm5gFRyII2+bpratUZ8UBze/aN4PHdtH24QpdFTfoQ4ThAnCboDDxd2AMcN0bJ0\nqIKjZ/slEXlRkTYrbFe5J4BxYbvqeZZxwmRfV816ieMEjZqGb324QxeuS7DKeWCVqL3JbTsZo8jB\nriRKT+EM3/vGI7w66uO3n5/B9aN7X8woOtdalobTrpfflkXgZUw6ioqPzc4ZGUURuuhSm3cM990A\nzx818aBdX6nYZBoqBsMgjfr108K1whlquoKaLmBORJ7VdIEtpE00VdzHCEWCyCgWfF0/wvHFEKdd\nD0JwMAaEMdC1A/hhkq/pNZXjm3+0U/kcly0aa6pS+myZPNdkruogSjD0fPSdALqqQIjUYdmydDCW\nis7F64+rdM8SBLE87ypOmSCIq4GEJoIgCALA6vM4Zj2mGIeVFYyzGQ/FOS9F/utHx3dWZBIKHzuP\n8rlIBtqWju3R9826Rgto4p1TPJ57jg8pJToDH+FoBkuzrqXzWBLADxMYmoIwSkpOIc7YwiJtVpyu\nck8UC9tVz7NMXGeRqlkvUko63pZklWJhVdReFr8Yxmlk0eG5g8c7JjRVKRUKJ2MUi3Ftly0GZn/D\n8cUQQjuHoQs8fWDhe197sNbz3TWKzrWDMwVDN0IYJyM3gQ426m+ochQVH/vjs7dgjFXGVAJjh+Ki\nY/i4M8T3v/5wpe39sF3DH972YBfmb0WxxGCYQMr09iLrrHcI4j4wWfDtDDx0nQAd24eqcLQbqWgD\nlNf0xeaBTReNJz9bes7YkZoJ2omUGAwDDL0IQomx0zIQRBLnPQ+cMbQbOjQx/ZoUk0kQ10u6JrPx\n8esePD9KZ2faHvpOmK83ipAgTBC3DxKaCIIgCADLzeOYLDpqqoIwiqEoPC8oZXFYxYKxEOOCcs8O\nSkJTIiVeHM6eyXCT0VVlwoE0HWtn1dSpORB3kWzfODizcXw+hONHMA0Vj7breLJ7f90Ct4niOSCK\nUidTJjJpair6BGEMVWXwgwTD0TYG0oJTd+CBMQbXE/jxr97OFCWy4nQUS3z04hxRJCEEmypsVxV7\nV5kDNO8+FNGxmFWLhZNRe54f46jnQBUcu20DsvD4MIohuJJv6+xzI5+lITh+/7qX7xdvtfWKDMW/\ngTMGUyhw3BCfvLxAr+eiUdcQhLT9i86173/t4UrHRv7YPQvxnNkt2bG5iWN4EkVw1A0VDAxuECGO\n03lRNU2gZggooly9WnX+GEHcFyYdh9m5WeEMQRTD9SLUa6J0+1bDKDWGbHoG3+RnSxxLaIKXBO3O\nwMvPT3HBLR0nEpFM4HoRHmxNvybFZBLE9ZGtyQbDEOaoGdVxQ/zmxQU4Y3i6Z1WKTSQIE8TtgoQm\ngiAIAsDieRwApoqObhBBcAVRnKBeFwjDBJwx7LVqpYJxy9Rx2nMBVA8bD8Lk6v/AFanrouBAqpqL\nZKCmTw8Tv49kFw4d2y/FX9luiL6Tdpgu28VKAsC7o3gOeHvm4LTvQig8j5+66KddxJpQkCSA58e5\n0CSlxIu3AzzcqqO9ZyAeRe7NEyW++5U9CIWtVOxdNuJz8j6Zs6bn+GBgOLxIBZCsSEURHdOsUyws\nChavT2wkqBYeFIUjihOoPP2QCGMJKYHuwAcYUDMUJJDpbK2ei6Ef4t987cHK26Xqb0ikxBeHfXR6\nHnZbBraaOm3/Apyz/NjLzsOZC2neeXjZY3OdmN5FxEmCuiHAGEpFcCB1PMRJeY1BcwgJoppJx2G2\nZq/pCgbDBG5QFpqy24uNIcs4j1ctGk/GuE6eQ3p2gLou4Acxinq3whmiWCJOktz5lM0CDGMJ0xB4\nfWLTcU8Q10C2JpuM0I+iBLGU6Np+KYEggwRhgrhdkNBEEARB5Mybx/H6xK4sOjIOqJxjfzd9XFUR\nqW3psN0QbhBBVcqLy23LwE7LwGnX3ewfM4dGXc0j7LYaOtolASn9Z2j0Ebks2YXDZPwVkIqRXdsH\n41jYxUoZ3e+e7Bzwg289gfPTV5Cy3Bmcsdsy0rkMgiOKJLwohhAc+xXdiPNEiVWLvctGXhXvMzk4\nXBcKuqMu7cm5cRTRMeayxcJ5j+eMoV4X2N9No9R0wTEYhtA1jpoupgT8MErW2i5Vv8NFz4PjhnC8\nEB3bw3bPyJ1TMll8nrrrrHseXvbYvIrYunA0K6ZYQC5G+IUVzSw0h5Agppks6GYRtzVdwA+TqWNJ\nVdhUY8hVuBaLVJ1DwliCMZau31UBCYkwlmiaKoIogaWnTTHFZigAqGmC1pgEcU3MWhcKwRGHMbp2\n2tCWzVXN1mZPyGVMELcKqqIRBEEQS7Fs0bHqApBx4Omeha7tw9AUKKM5LllB2fFC/M//xycb+T05\nSwtICmcQgkMTHDtNA5qq4MmuiX//lx9CFTToe5Nk+0YWsTJJz0k71BYVpjcdt0Ksz/6uiZap5oIM\nMO4M1oSCuqFCVzk+eNwEALwcxV9WRV4As0WJVYu9y0ZeFe9THBxe0wWiaFzkqpobRxEdKZctFi66\nPQyTfNs/3jHxn372GkFUvQO1LG2t7VL1O1wMPJz3PAxH83yKzinbDVE3xL3e/uueh5c9Nq8itk7X\nFMS+HDmPjcrbCYJYzGSzWMvScNpNY3HbloYoknmDiRAMf/x8B9/6cKck0FyFa7FIdg7p2H4uLp/1\nXEACW5aOZw8sMMbQtX10bQ/O0EMn8vH6yIYXxvmMqWLEN60xCeLqqVqTJVICDDjrerDdAI26lsfe\nJqO1mVUXSBKar0oQtwUSmgiCIIilWLaoOKuIxDjw/HFz6oIUAP67P3mEt2cO/uNPX6cLzgoUnnYn\nm4YKTXAYmoKmpUEmQNPUMBgG+MPbHqKk/HhNcOy0jLxDnkSmzZNt+6pYRACIRvO5Fu1DVxG3QqwH\n5wx/+vVH+Plnp3lnYbOuIYwS1EYRVS1Ly+8fxhK7zekCb8ayHcyLohOXdUEV7/PFcIAwTCAhwSRw\n3vdgjC5iGZueG0cRHSmXLRau8vjH23V4foyO7SNOJBTO8sjGuqGiZelrbZeq36Hb9xGMxEZlwmHr\nBhGOLoYrv85dYt3z8LLH5lXE1l2FS4og7iOTx1LL0mG7EVw/AmMMT3brebRV29Qr1/RXfTxyzvDN\n5zv4L788QM9OZ0o2aiqiSIJxhtenAzhuhJ4TIE4kOANadQ3H3SEggb12Gu9djPgGaI1JEFfN5Jos\nizL2/RhhHCNJgChOMHAD+GGMdkNH3RBQFE5CMEHcIkhoIgiCIJZi2aLhOkUkxhj+/Q+/hP/+m4/x\ntuuh0/fQqGvQlTR2b6uhwzJU/PrF+ZSA1en7OLoYgvNURIqC8u+YzV8xDRWmTh97V0G2b2QRK5MI\nwfL7zeMq41Zo9tPqPHtg4WLgoeekRaViBF1NF2hZ4xz1lqnlncFVLNPBvGxk1zIuqOw++7smfvem\nC1VNq0ly9K94ETspkJL7IeWyxcJlH58kEr9+cQ5d4zB0BZ4fI04kXD+Grgo83q2Dj1ywm/gb/HB8\nHqlVRKQ6Xrjy69wlLnMeXtahuOnYuqtwSRHEfWTyWOKM5bGUYSSx0zRg6PPXT9dxPB5eDKGKsas6\nkRIHpw6GXoiXR4PUeTX63FeEAqFwQKYNMm1LpzkwBPEOmFyTXfQ9DL1UxFYVDtXiYGCIE4lEShiq\nksdbkxBMELcHqrgRBEEQS7FK0XHdYeJPH1j49tcf5d+fn9tIRg6lWTOi2paOP7ztgSsMhiYQxgmi\nOM2QF5xDFRyeH2O3VcPDnfqKfzWxDNm+kUWsTNIy9fx+87iquBWa/bQ6mTDnhzF6Ax/OSKz98n4L\niuCIk3RWQybYPX/UxIuj/sznW6aD+SqiEw/OHIRReaZENtQ8iGK4XoR2Qyvdfl/dD5NirKpyhFEC\nwflUJOKsYmHxOTw/xkknLQa2LL00/Dl7fJJI/OyzU3z04hx9J4TnxzB0BfXCnKaBkzrO1tkuVQVP\nXeXwAkBVOWrG9KXQfW9IuOrYq6vgKlxSBHEfqTqW6rrAl/fbKx1L2w0DR+fDfP7qXruGb3ywjWcP\nrI0cj5POy0wQe308gB/ESCRQN0Tp8yRtYIjyOOdJbuK5jSDuEtmabDBMG3o6fT+/TVE42pZWmtGZ\nSIneIEDP8RGPmsLoc50gbj73+0qKIAiCWJpVOhSvorA/K86H8TQ6L4hiaKaCOEkQJwkgGRSFQSgc\ndUNgf8/E/i51Ql0F2b6RSJlHrGTUNYGWqSGKEhyc2Xh52J9ZALyquJVMwEikrBwWv90w8P6jxlrP\nfReZPH5bDR2tRlqU0XWl8vhNEjlyP63fwXwV0YmH586UAJoNNQ/CGG4Q4X1r/Jz31f1Qdc6OgxiK\nwhDFMZqGjiCcX7yveo69Vh1d28dZx8XD7TpqusgfDwC/+vwMH704RxAlMHQBL4hhD0P4QYythg7G\nGHp2gOePWmttl2LR9PhiCIUzPNoxoWvlWV0ZNV3c+4aE2xpDt2mXFEHcVy5zLBU/B2qGwHuFtdXF\nwNvY8VnlPuKMQUqgbqiABHZa5ThfQ1fg+jEsozrm+aae2wjirpCtyQ4vHAz8BHGcQFMVNGsCQilH\nsEsJnHZdhKPmUU1wahIkiFsCCU0EQRDEUqzSMbzImfD6xAbnbOp55l2Azou0EArH0IvQNFXYngLX\nlxO3s1IBmWLUNktx36jrAsfnw9wB87Bdw8ALoCgc3mgbzrpQKIqZk6JQy9TwwcMGvjga4LgzXGm7\nHZ47eaxKUQQLIonTroeffHy0sS7bu8A6zqJNOAquIjrRD+LSjAkA+VBz14+QJGnndVEAuY/7waxt\nzhkDFwqe7M4/P896DsaRd47/0ZNW6Tkyl2o2w40xoN3Q4XoR3CCC58doWRq2GkblHJBlyYqm7z9q\nYGfHwou3PXzy8gIHR310bb8kOrcs/d43JFAMHXFbobXd9TDvfb4KZ3IVs5yXYZzO+KuirgsEYZLH\nORehcxtBXA/pmixdjwGA44ZwHB8SstQU5noR4sLc5eJc2KpzCZ3/CeLmQEITQRAEsTTLdjnOcyYk\nUuInHx/hwfa4azwTHi76Hn64Y1VeJM66qJQJ4AURhn4EQxeQCRDHEmGUgDPAqquwDC0dzILprnuZ\nAGenDj5+eQFV4fjwaQv7uxYtTFdk1r7x+sSe2R0/eaGQiRWvT2z85OMj9J0QQjDsNg20TA0//v8O\nAYY8r3vZzjY/iNGz/ZLIVKTvhDRktsC6zqLLOgquIrJL1xTEvsxnTGTCpSY4HmzV8HjHxJ9949Hi\nJ7rjbMJNtupzZPcXYjzbjTGgXhOo1wS00fyNui42ei5+71ETJxdDuMMA7UY5PomKjRRDR9xOKCL3\nelj0PgdhMufR6zmTq5jlvFQVhpquALJ6HuyDtoE/fr4DKSWd2wjiHfP0gYVPv+gAwFRTWDoPNl33\nT86FBcrnEjr/E8TNgoQmgiAIYuNkzgOZAF3bR8/xEUUSQjAwMARRggfb04/rOQFeHfXx/Elr6rZZ\nF5WdgQcviJHIBAcnNvwohiY46oYCxhi2mjqePbLQd1NRI3ud7Pd7c2rDDdJFbRAl6WyRIKaF6YZY\ntfjMOQPnDA+266V9pNP38+3Us31sNcaRKIu6ZHVNQc8ebXOJ3DERxxKKwtCsa3hLQlPOVTiLluEq\nIruy5+SMYathlPYbAPfevZKxiW2+6nNk37dMHac9d+r+YSGPf5MonOF733gEXQEOTklIqYJi6Ijb\nxnU5ae47i97nnh2UnAeTbGr9MMt52bI0cM4BCXjhdOPKswcNfPcre3SeJ4gbQNb44zh+PmctawoT\nnKFl6WiP3ObFOZ9A+VxC53+CuFmQ0EQQBEFsHF1T4LhRScQB0qiy854HTeWQCaYGzAPAmxO7Umiq\nuqiUCfDisI8okdhpGjg6d8HA4IcJEgnstHQYqpIvTidFj67tl34/AOjZ6eB5WphuhnUK2FXiVM8Z\nD4zNttHkY2Ztq8c7Jn71+TmkBLoDH0FhNksUS4RxjN8fdPFvvvaAig+4GmfRMlxFZBfFgC3HJrb5\nqs+R3b9t6bDdcOpcrE5Enm4SZRTdQkLj/YQidu4eVzHjj5hm0fvseOFcoWlT64dZzsvnjx7gvJfO\ni5xsdHu6Z+Evv7NPxzhB3BCqGn/2dy1876smDs7sPHK9iuK5hM7/BHGzIKGJIAiC2DiPd0z8y29P\npgqHABAnaX56Z+Clg94LF4Hthg7LMiqesfqi0g5CCIXDqqfuJaFwmLXxBSRjDFEhxWNS1MjECykl\nhn46EySRaRd9y9JwcKbQwvSSrFPArhKfsjkuQHlY7LzHZOzvmmiZKt6eDksiEwBoqoKaLhBGCQmL\nI67CWbQMVxHZRTFgy7GJbb7qc2T3Zxx4umdNFQX/+PnOpWYzEUQVFLFzN3lXTtz7xqL30dTnl5c2\nuX6Y5bx89sDKP/N3WwZ95hPEDWZe48+ya0o6/xPEzYKEJoIgCKLEJjp993dN/NeoelFX0xUYmsCL\noz4a9XHXYxBJnHY8CDHIxahJJi8qf/rJMVodDcFITVIUhqggQnh+jC1r/DyZqJEJH1EkIaVEZ+Aj\nHD2HUDiCKMFp18PQjfD9rz2kC9NLsE4Bu0poL7VXAAAgAElEQVScKs5xUZXp7aGpCl6f2Dg8d+D6\nEYZe+njTUGHoCj542MTJhQuh8Hz/qumpyMQYQ8vSqONtxCZcQOueR9aJ7Fr0WhQDtphNbPNVn6N4\nf8aBraaOraae33+TIlO6j9j4+HUP3mieX0PneLxNhcf7BkXs3E3elRP3vrHofX64U4euKu/URUyf\n+QRx+5hcy6sqRxglEJxPJaBMnkvo/E8QNwvl7//+7//+Xf8SBHGfcN0AcroZnyBuBFmn7+HFEGGc\nQAII4wSdgY9O30cQJfjsdRd/eNvHcWeIRAKNmgo2kZvMGMNZzwPnQBSlMXaa4Nhu6mhZOi56PoZ+\nBLOmlh8Hhu1WDS1Lw1bDWHi8/OFtH0kyFo4gUXKsSADPHlqojTos33vYQKOuoTNInUz9YYCBG8Lz\nx48xawKqUEZ/B7DbrqFlzo4BIebTqKno2j78cFp4bJs6vvy0NbX/JBL5NsqQcrydt5t6vk2BNELR\nDUL0nAB+FOPNqYPzvof+MIDjRahpAkEc4/DMQdPUYNVU1I10OzPGUNMF9rZqkAnw/qPGFbwLVwNj\nDPWCWLupzxfGGB5u1SEUDj+IkSQSNV3gvYcNfPlpa2Fhft55pGv7eLhVn9rm63Kdr3WXuew2X+c5\nNvGay5DtI0cXLsAYpATCKMHx+RAd2kfuHZ++6iCMk5m3+0GM/T0qUF/V50tGkki8OXXw6avOwjXl\nUs9XsW4o8t7DBq3lNsCi9/n9h018+Wn7ys/rN42rPl4I4i4xebw4jo9f/r68lo9iCcaAOElgGRrk\nnHMJnf+Ju87kMXPTIUcTQRAEkTOr01cmwEcvL2DVRT4bZ1HUTE0X2IIxNUsnkRIv3/YrHUt1XcF2\ny5g5p2kSXVNK8z1qhoAfxrnYVNMVtKxxh3zW/ZR10bdMHYfnw/z5shi1jPR26m6+DOtEl1U5I7Lt\nDIZ8m2bESQJFSdvderYPt9DV5gYRuraPraY+GhI9KjTHEqqSOpmyIbPU8TbmMh3B1+kYIHfC5thE\nF/iqz3EdnefZPjI5SBqgfeQ+QhE7756riC+keXzXwzLvMzmKCIKYRZXD3LE99IbT6zTOGLhQ8GTX\nnHs+ofM/QdwsSGgiCIIgcmYN0+zaPtwgQpwkU8LRrELdrMg0zhiadQ2axisL/hc9Dy/epovPKIjw\ncLs+U5DIXqM432O7aSAYuWee7NVhGSoe75h4vF3PxQ7Pj+F6EXRVQapP8FKMGgDUNYG2pVPRaQOs\nU3yeEqdqCv7i208AAMedYUmwKg6M7dnTFxk9JxWa2paBnuPjg8fNyte9qtlDt5l1IvCucygvDQAm\nFkH7CFGEInbePVfRIEDz+K4Hep8JgliXrMlgMAxhmmnToOOG+M2LC3DOsL9nVjYFLVqn0XmJIG4W\nJDQRBEEQObNElZ6T2tHDuDoHomoBOK+7qNXQsds2SovJREq8PXWQgEFTFcSJXNjhWnyN4nwPoDzj\no6p7tmakH4HvP2pCVTj6wyAfQt8ydbQtHYxT0eldsEjcmIy3e3nYz7+u2kej0WyntqVj6IeVr0kd\nb9Os23W+qmPgMnPhyJ1ALIL2EaLIOnMDic1yVeIvOWmuB3qfCYJYh1kO8zBOkIQS3YEHxhh6dlBq\nRGUwZjzjGDovEcTNgYQmgiAIImdWp29WqFeV6qJvVaFuXnfR80dNvDjql+6fRp7F0HVREoyA2R2u\ny3Ywzeue1YQCMEkulxvCOuJGcb9VFYYgKotNQqT3Zxz40n4bT3ZN6nhbgnW7zldxDFw2QoncCcQi\naB8hilDEzruHxF+CIIj7x6wmA1Xh8OIIL94O0CjMUgoiidOuhzBMkCSSrtMI4pZAQhNBEASRM6vT\nV4i0eN+yqocQzirUzeouShKJi4FXKvRkkWemoWK7Od25VNXhuqwTYl73bNvScdobVt9GRadLs8w2\nKt7n8MxBx/ZLrrKMZWIaW5aG065Xur1ljoXLLOebOt4Ws27X+SqOgctGKJE74XZxGffautA+QhSh\niJ13D4m/BEEQ949ZTQQtS8PFoQc3iNGoWJKpQqF5mgRxiyChiSAIgsiZ1enbMnXYXoiWpVc+btVC\nXVWhhzOGvS0d+w8blfnMVXFbyzoh5nXHMg482jLx/EmTik4bJttG3UGQz9CKIomPX15gf8/CD7+z\nD85ZaTt2bB9BlOC058J2Qzzds0pi06KYxpalw3YjuKMiVjZrCyDhcFXW7TpfxTFw2QglcifcHi7r\nXluXbB8ZDKdjM2kfuZ9QxM5mWVVAJvGXIAji/jGryaBt6UhiCaXi8yK7jqN5mgRxeyChiSAIgsiZ\n1en7/CtNnPVXK9QtKjxMFnp0TYE3EpyqmOxwXcUJsah71tAVKjpdAQdnDrqDAG9ObbjB+P0PIokX\nh30AEl95ulXajsUZS24QoWv7pSjForhR3Mc8P4brpa/xdM+E56f3Mw0Vhk7C4Tqs23W+imPgshFK\n5E64PVzWvbYu2T5yeOFg4Cfw/AiGLvCorePxNu0jBLEsVeu6h1t1nPc89N3lBWRqECAIgrh/zGoy\n4IyhaerQVA4pZeXMZIpUJYjbAwlNBEEQRIlZnb7PHlhLF3PX6Vx/vGOOxIdqJjtcV3FCUPfs5lmm\ng/nw3EHX9ksiU5GDUwdRJFEzxsuRyRlLPacsNGXiRpJI/PJ3Z/jieJA7pbKLkodbdfzbb1+NO+I+\nkR03MkHJkZa9z8+/Uj3XDFjeMXCZCKVsH3x75uDoYgjHC2HqAg936ov/OOLauax77TKk+2MDOzvj\n5z8/t5Ekcs6jCILImLWu+/nvTmAPoyn3MXD5+ZoEQRDE3WGew7xladhr1aY+RzIoUpUgbg8kNBEE\nQRBLsUrUzDqd6/u7Ji76HqpKzlUdrqs4IeZ1zzbrGpJE4qefHFOxY0mWFRL9IEbP8Wc+TxhLnHZd\nvPeogURK9GwfjheiMwigcAZDV8B0tfSYTBT84miAn3xyjK7tI05kfn8/jGG7IXZaBt5/1LiaN+Ce\nsL9r4rTj4qOXF1OONNsLcdZ38eyBdanjZF0RuBjLWHTM2W6Ivhti6EdXGsdGrM5l3WsEQbw7Ds7s\nyjVUzw4QRMmU+zhjloB83fGF72I+HEEQBDFmnsP8/YcNvDhavuGUIIibCwlNBEEQxMZZp3Odc4Zv\nf2kXdpjgzYkNz49Q1wUebtcrCwGrOCGK3bNF90NNV3B87uALVeTW/OuYGXLbWVZI1DUFUTTbMaAq\n6XubSImDUweuH0EoHKrgCMIY9jBBEkskUoIzlguOSSLxn3/+Bmc9N3+uKJawh0lerP745cVcoYmK\nTovhnGGnZcCqC0RxjN4wRBjG0FQFquB4dTzAbrO2lqBXdCMdnNoIowQtS0PL0vP4zHkRStk+WOWY\nc/0IPdsHZ4yGB98gLuNeI24ndJ69OxyeDSt/nsXdTrqPM26CgPyu5sMRBEEQZWY5zKMowcXAo0hV\ngrgDkNBEEARBbJx1O9c5Z3j+pIXnT1oA5kcbreqE4Jzlzqa0oK2hM/DQG4YAQthuWIp+ucqZIbed\nZYXExzsmPn55UYrCK9KyNBiqQM/24Y4K0IwxtC0Nrh/B9WMIweH7Mf7kj3by4uTrExunXbfyOcMo\nwdCPZt4OUNFpFY47Q7QsHbYboa5LQE+XjmGU4LTr4ScfH63sapp8/5/sWGk0n+1j6Eb48GkL+7vW\n3GJ0tg/Ocsz17ABbDYOGB98gKML0fkHn2buFF1av27K421lNJTdBQM4aEzLndM8OEMYSqsLQsjRs\nN8gBTRAE8S6hSFWCuDuQ0EQQBEFsnOvoXF9nmPSkE6dnj792g2gq+oWK1NUsKyTu75rY37MqZ2/V\ndIGWpePDxy385JOj0m2MMdQNFbvNGvb3LJg1UdoOi4Quz4+BOTWjdaId7yt+EJeEwEn6Trjy+zX5\n/jMObDX1/Njb310cp5TtY7OKm1mX/U3opidS1jlnE7cXOs/ebpJE4sXbXu4wf308QBAmSKRElIxF\nmqap4qznQ4hyETCb7edqEX78q7eVBcPrcrwdnjsl57SUMm9meXPq4NWxjf/xf/ijS0fBEgRBEOtz\n3ZGqBEFcDSQ0EQRBEBvnOjrX1+l8mhQosmJ0xmT0CxWpq1lWSOSc4Yff2QeQFniKHcQtS8e2ZeDZ\nAwtfHJlQFQU9x0cUSQjB0DL1PM5wcjv4QYxGXcPFwKt8/TiR2GvXZv5+60Q73ld0TSkJspMIwVZ+\nvzbx/mf7oBCs0jGXxTLehG56IoW6Ve8XdJ69XRRFH8+PcdwZwjQ19J0Ah+cODk8c+FEMy1Dx9IEJ\nKTlOux50TYGhKWjUtPy5ZAK8ObUBBrQaGmIpp9xsAK7N8VZsmJBSomsHCAoOrYET4ue/O8HFwCOn\nHUEQBEEQxCUgoYkgCILYONfVub5q59OkYJFFvmRMuiOoSF3NKkKiEBx//a+fzS0uG7pScrRMMrkd\n0sfXYXthqViUUdMVfOOD7Zm/37rRjveRxzsmfvX5+czbW6a+8vu1ifc/2wdbpo7T3nRMYsvS8vsR\nNwfqVr0/0Hn29jAZc9jp+7joe/joZQdRnEAIDsnS9VHfDfDyUOL5Ewucc/hBjA8eNfDVZ1s47gzh\nBzHsIIRVF6WZexmZmy37uoruIMDPPjuFlHIjgnSxYcL1o6l1g6Iw9OyAnHYEQRAEQRCXhIQmgiAI\nYuNUda5rqgLOGbwwwv/z68O5hYM4kXh11MdvPz+D60cb63qfdOK0LA2n3bErZjL6hYrU1awqJC4q\nLq/qgHu8Y8JxIzzeCXHR9+D6MeJEQuEsF5nmFYquI9rxrrC/a6JlquhWuJrqmkDb0ivfr3mRSJt4\n/7N9UCaA7YZwg/HzZbGMFMdGEO+GJJGw3RDHnWHuZG2aKiQYBk46H8c0BF6f2Gt/rl9X7Np9YCpW\n2PFxMfDhhel5NfASMDBoKkccS/hhhO4gwKOdOlqmjpap4/1HjXzO0U8/OZ57jp/ndsvcUHGS4IPH\nTQCXdzoVGyZcv6I5RRO5w52cdgRBEARBEOtDQhNBEARxJRTFhVWGgseJxL98fITOwMfQj5BURK6s\nW0SaFDRalg7bjfL5My1z7KihIvVsNh2Btapwld0faKBR00qRe0/3LPzld/bn/g7XEe14V+Cc4U+/\n/gg//+x0ZrTh5Pu16Hh/uFXHi6PpuV0Zy7z/xX2wbggcXQzheCFMXeDhTh37uxYVnAniHZAd/14Q\nI4gSAIAfJvjs9RCMMbQtDYwx1DSx9uf6KmsKYjGTwk8USQyG4/c2DGOoggNI3T9C4VAUlgtBkw6h\ny7jZurYPN4jA2PT2W9dxVGyYiJOyc10TCmqGyONWyWlHEARBEASxPiQ0EQRBEFdKkkj87LNTfPTi\nfGpGD2dsqnDw6qiPzsCvfK7LxqlMChqcMezvmejZPsJIYqdpwNCpK3oZNhmBtapwNXn/3Zax0r5w\nXdGOd4VnDyxcDDz0nOlow6r3a7I7HhgPhn952Efb1BBECVSh5GLVvOebBcWwEcTNIzv+25aeuw2H\nfoRwJDq5foTdZg1tKz2frCMeVJ1jMij+bHUmxRUhGOJEgs34LOWM5SIiUB1vu4xrteo+PSdd/2XC\nzyTrOI6KDRNd20cQJFCUVOysGQKMjeNWydFMEARBEASxPiQ0EQRBEFdG1nX80YvzvCgRRBKnXQ+2\nG2F/zwRnrFQ4eHNiVz7XJuJUqgSNui7w5f02CUvvmFVFg3VEhmLUkutHcL20yGUaKgmMc1hVCJzs\njs+O3SzerusEeO9RAz3bx2lviEdbJr3/BHFHyI5/xoGnexa6to+e7YOBQVEYVEXB/l563u70ffQc\nH6+OBvja+1tLnwPmRa9lt5PQtDxTscKmDoUzZFKSqiqAHDuBVMGhiXGHQFW87TKu4ar7ZLMyM+Fn\nknUdR1nDBICpuX5Z3GrxdyMIgiAIgiBWh4QmgiAI4srIuo6zwkER14/Qs31sNYxS4cCb0QW7qTgV\nckHcT6qilmpGugxqmCpFLS1gleNmshCYHbsZYSzBGcNWwwAAPH/SpOORIO4IxeOfcWCrqaPdNyBH\nQgVHep4tis+MsZUaRy4TzUZMMykMtS0du80aTvqpIFM3BPwgQhRLQAJBlCBKJF4e9vF0z8Lj7Xrp\n+ZZ1DVfdRwgGRVFy4WeSdR1HWcPEdsPATz45Qs8Jpxz25GgmCIIgCIK4HCQ0EQRBECuxygDurOtY\nCIagQmzq2QG2GkapcGDoAo4blu4nE+DtmYP+MAAYpooD2WtRsZqYBUUtXR+T3fFZFFLGZCQSHbsE\ncXeoik1TlfEaQAg2JT5n54RESrw86uPofAirps5cXywbzUYsx6QwxDjwra/s4BefncMeBjA0BZrC\n4XgholhCExwP28bI+cTx6xfnJXFwWRdsdp+DMxvH50M4fgTOOaI4Qc/2S2u8jCrH0bLrUs4Z3n/U\nwLMH1sZmTN5mVlnP34bf6Sb+PQRBEARx3yChiSAIgliaVQdwZ13FLVOfiioBUmcDUC4cPH1g4dMv\nOvn3WexWZ+BDQsKqqwiiZCp+jzqYN8s6F+zv6iJ/mdelqKXrY7I7ftLROBmJdFXHLhWdCOL6qYpN\na1kaTrtpbFnL1KfE55alIZESB6dprKkmOGpGc+b6YtloNmI5qoQhq67jf/p3f4Kjcwe//aKD10d9\nqILhwVYNT3Yt2MMQPcfHec+DEAxRLPHdr+yVxKZFLljOWS5ytRo6Wg09X/NNrvGA6hl+q65Ll/3d\n7jrrvG83+Xe6iX8PQRAEQdxHSGgiCIIglmZVV0jWdVwcCl5EVaajSt571MTJxRCdQVqIyjqfFYWB\nc466Pv7oKsbvUQfz5lj2gr1YyPf8GEcdB6rgeRfydVzkL/u7UtTS9THZHV90NBZnYWRcxbFLRSeC\neDdUxaa1LB22G4HJNJbtvOflt2XnhJ7twx25lCbF6cn1xbLRbMTyTIovnDPs7Fj48ntb+MG/eor/\n88efw/bCqZl7QDp786MX5xAKW/ncOrmuLM32cnwM7ACPd82ZTQLkVl6PRe/b6xMbnLNrbdR4fWLj\n5VEfPTtAGMtSesGibUn7AUEQBEHcDEhoumH84he/wI9+9CP88z//M46OjtDtdmGaJh48eIDvfve7\n+Ku/+iv8xV/8xZX+DkEQ4B//8R/x4x//GL/5zW/Q6XTgui62trbw/vvv48///M/xd3/3d3j27NnK\nzy2lxI9+9CP80z/9E375y1/i7OwMw+EQrVYL+/v7+LM/+zP8zd/8Db761a8ufK6DgwP89V//9Tp/\nYs7f/u3f4h/+4R8u9RwEcZ9Y1RWSdR1PFg6iSEIIhj9+voNvfbhTumhVOMP3vvEIr476+O3nZ3g5\nDKAJjic7JrxwekZTFr9HHcybY5kL9v1ds1TI7/R9dO3068ku5Ku8yF+2uEBRS9fHZHf8VsNAZ+BN\nxV1mXMWxu+w+TI4ngtgsVe6Yui7wF996AgA47gyhqRyJlKVzQs8eH69CTB9/xfXFstFsxObwwrQZ\nYzL2MCOM/3/27jxIjrO+G/i3j5mee3b20l6SLMuHZAMCXlscCSTYHIEijpOQelPhKpOQcJikKiEh\ngUBICopUgCRVoUgILmxSFYoUlQCpEI4YDDiYFxkfsmVZsiR07KXdmd3ZuafP5/1jtnvn3pnZ2Uv7\n/VS5yqvp6endnqe7n+f3/H6P6Ole3+y50l3bKxHTENJUHD+6r6v317/OAEOjdn83Rwj85PRVjFat\nvbXZEzUcp/KZK1X3bcMSNZlt7c4lvwdEW4PVAohoPQw07RALCwv4yEc+gh/84Ac1/y5JErLZLDKZ\nDM6dO4cvf/nLePGLX4yPfexjuP766/t+HN/97nfx8Y9/HHNzczXHAACLi4tYXFzEo48+in/8x3/E\nW97yFrz//e+HonQ2OPfYY4/hox/9KM6dO9ew71QqhVQqhZMnT+Lzn/887rrrLnz4wx9GOLz+4FP9\noDMRbR7dsCEcNASM4mENAxGtIStkfDCEM1eWMZssNMxOHIwEGoJM9RwhsJLXoZs2fKoCy3KgqBJC\nmuq1fdMWnMHcJ27n4eGn5lAsWTXnVpLXtnM79NUD+dWlkKozzarfU9/J70dnpdPBBZZa2lrVs+Ob\nZRe5Nqvtrve9mEsVGjIimPFE1B/tSpMdHIs2vR67pXSBSnm9evXPFyx/trUCPgV522koe+hy19nq\ndkB/o9nG3b7OQdIK3bDhCIFMXm/IIHIEkC2YGB1sfN9mTRyaTRWQLZhNX3OfKX2y3PR1YOPfEyJa\nH6sFEFEnGGjaAWZnZ/H2t78dMzMzNUGTkZERDA8PI5vNYn5+Ho7jAAAef/xxvO1tb8MXv/hFHD58\nuG/H8dWvfhUf+tCHIESloydJElRVxcTEBEKhEBYWFpBOV9ZNsSwL999/P2ZmZvD3f//36wabfvSj\nH+G9730vdF339q0oCsbGxhCLxZBKpZBMJgFUsp6+9rWv4fLly7jvvvs6CjYBwP79+zE42OSJuI2D\nBw92tT3RXuf3Kbh0daWhZEoyU0K+ZOKm/QPevzuOwNMXl6DKircmg2UJZPIGIkE/nndosOnDqO0I\n/PT0VSxly3huegWFsgXLdlA2bPhUGYpQkC+aiIX88Plk7EuE1g1Y0fqqOw+FsgUBUXNup0YiXrBJ\nN+yGgfz6UkcrOQMQknfe/T65ZjCnX52VTgcXWGpp+2wk+6DXQcH1vhdXl4sNa0W5WGaHaHM1ux77\nlEqJzZBfxUCkMdDErNPtYTsCl+YyOD+3gktzOWQKBjSfgnjEj1DAB0kChAAkSLg4l0GuaOL8bAbh\ngA9jgyFMDLe/Xm8029jnk5FaKjQES6JhP3IFAyXdxsMn56D5FexLhJDKlpArrgU09uogqc8n49JM\nzitXCaxlEOWKBgarJgrV24zsoPmlQk2Z3XqZvIHJ4dafyax1os3HEpVE1AkGmraZYRh417vehdnZ\nWS/I9Eu/9Eu49957a4JIqVQKX/jCF/DAAw94P7/zne/Ef/7nfyIS2fjF/NFHH/WCTEIIBINB/OEf\n/iF+9Vd/tWb/J0+exMc//nE89dRTkCQJDz74ID7xiU/gz//8z1vu++LFi7j33nuh6zqEEFBVFe96\n17vwW7/1WzWBoXPnzuFTn/oUfvjDH0KSJDz55JP44z/+Y3z2s5/t6Hd4z3veg7vvvrv3PwIRrUuW\npaYlUwCgZFg1HXT3YbS6BEq1+eVi04fRK1ezSOd0LGfKKOk2gpqCXLESaDctBwGfimjYh+GBABLR\nAA5PxPfMwMBmqu48uAN+rpJhYSWve+dQ8ysNA/nVAwRCAMmVEkzb8V53hMCFuQwWV4oYjgVx+lIl\n062y9lYl8GTbaxlyg9EADo5F1z3uTgcXWGppe/WSfbCRYOR634tC2WwZaAJYZodoMzW7Hu9LhFA2\n7IYMWhezTree7QiceOYqnnxuEdm8CawGlQq6Cd2yEQ/bSEQ0FHULQjhYyRsQAgiUTORLJrIFA8Wy\n1XJtR92wkS+ZPZ93xxHIFU0kV9bW/DIsgcV0CZfmcwgFVIwOhGALgaJu4fHnksiXzZrSvq69Nkiq\nyHJNkKlaSbchx3ufyNHMepNGdMNGPKwhmSk1fb9pi7bfBWatE20+lqgkok60zj+mLfHAAw/UlJJ7\n85vfjL/7u79ryFQaHh7Gn/zJn3jBIEmSMD8/j8985jMbPgbHcfCXf/mXXpDJ5/PhgQcewFvf+taG\nINaxY8fwpS99CS984Qu97b/0pS/hzJkzLff/sY99DOVy2Tvuv/3bv8W9997bkH1044034nOf+xxe\n+9rXevt+6KGH8L3vfW/DvyMR9YftOAhqzecoBDUVtrMWWOjkYbSZmcU8ACCd0739+n1rMxHdQFcm\nbzATpY+qz0cs5EexZGEpU8bicglLmTLmUgWI1dM7PhRumB1aXeqoVLZgO7WzUivlWAROX0rj8eeS\nWEgXYYvKgNCVhRwWV0qwhQPDcpDMlPCTZ6/CcZrPbK223uABBxd2r05mTtZzHIHpxTyWMmWcm8ng\n4lwWl+dzuDiXwfnpDC7NZ5HO6ghq7Wc3s8wO0eZyg8/Hj+7DK45N4HXHD+C68agXbBBOZe2/S/NZ\nzC7mMZvKY3ox39F9gfrjytUsLsyuoFiurI+ZiGqIRXyQJQm2LVA2LFiOQCigomTYMC2n5trqTlJx\nr9eOI/DkuRR+emYRpy8t4+yVFVxdLuDqchHTi3nvGcO13jPebKoAVZYR9FeeS4UQKJRNzKeKmF8q\nIpWp9D/d/WYKuleGrZn1nluvJY4jvL9bvaBfadvOus0OchyBJ84n8dOzCzh9aRlnpldw+tIyfnp2\nAU+cT8JxBDS/goGI1vKY4mF/2+/C5HAY8XDzySPsKxD1B0tUElEnGGjaRoZh4IEHHoAkSRBCYGpq\nCn/2Z3/W9j1vfvObcfvtt3uBmH/7t39DLpfb0HE8+OCDOH/+PIBKSbt3vvOdOHbsWMvtVVXFJz/5\nSSiK4h375z//+abbPvvss/jRj37k7fuuu+7Ca1/72rbH8/GPfxzRaNTL8Prnf/7nXn4tItoEpulg\nciSMkYEA/KoMSZLgV2WMDAQwORKGaa6NEvT6MFpenWFpWpXXJUnCQMSPaMgHVZHhOAJ+VUYiuv4a\nT9Q593wIB5UZxmalZKGAgGU7SOd1zCTziIUqnf36AE71AEHJsBCoGmwKairiEQ2Z/OogT0GHaQuU\nyhaM1fNsmHbN7NpMwWwbSDjx7AIePjmHuVQBplVZa6Be9eCCmx1zYS6Dom55M5wvzGVw8kKKg5c7\nULfB6upzHPCr0FSlEshczGEhvRbIzJdNGEbz74yLZXaItpab5XR4Io6gX8XcUh6Zgo54xI/xkTDK\nhs3r9RabWcwjnV0LykiShKFYAImohmjIB82nolA2IUkSyroNv09pmIzkruk0v1TA9GIez1xaRjJT\ngmE5cCBg2gKyXMkyLekWFKmyDufhiW5+DxgAACAASURBVPi6z3jzSwVIMjA1EsFwLIB80UShWHmu\n0HwKJEhIZcuYSVaCWG6J30y++QSGvTRIapg2pkYiGIkH4VdlyFh9no8HcWg8Bttu3ca6ncAzvZjH\n6UtpJFfKMCwHQojKpKKVMk5fSmN6MY/xobB3Lt1jkkTlOE3TgV+V8dOziy2DzdXXj5CmdvU9IqLO\nrPdszGdnIgJYOm9b/eAHP8Dy8jIkSYIkSXjb29627lpHAPCOd7wDjz76KACgXC7jG9/4Bn7zN3+z\n5+P46le/CqAyC8zv9+Mtb3nLuu/Zv38/7rzzTnznO98BAPzP//wP8vl8QwbUv//7v3v7liQJ99xz\nz7r7jkQieNOb3oT7778fQKVc389+9jNcf/31Xf1eRNR/ml+BrQskopWydc1er/7/XuqlBzQVhZIJ\nn6qgjMr7JUlCKOBDKOCDX5Vx3XgMIU1lx7GP3PO1ktdRNm0kopVyOGXdhu0IaD4ZkZCKoVgAsiw1\nrLHhDhCs5HXkiybCq+cqHvEjHtEgS5I3uGNZAj61sQxjSbcRCvgAVMr31ZdgaFZKrWRYUGUFlu0g\nFFJhmk7TknisK777dBusrj7HkgxEgio0vwxHCFi2gGlVAuXxiIZMzkAmrze9jgHMhCPaDm6WE4CW\nZXp5vd481eXNDMvB3HIJ6VwZoargkTv5J53TkS8asB0BCYAkVTKXpbqSdG5wRzdsnL603PS8Vtbu\nrezjFccmOj5e9x4gyZX/omE/omFgMV3pe7oBCTezyi3xa7YIouylQdLK87zVtLR15Z7pNH1fL9lB\npy8ttynTZ+H0pWW87vgB75kyEdMQj/oxmyxA6EDIryIe1tYtndtpid5e134k2utYopKIOsGMpm3k\nloQTqzNqX/Oa13T0vp//+Z+Hpmneg/x3v/vdno/BMAw88sgjXrDrxS9+cUNJu1buuOMO7/9N08QP\nf/jDhm2+973vecc5NTWFI0eOdLTvO++8EwD68jsSUf90U6as15JmU6sdxES0cTFwYK1EGx9m+8v9\ne7qzjyVJQjjgw1A8gNFEEDdMxZGIBrCQLgJoPns0HFRx25FRvPz5Y7hp/wCuG48hEQ14ayG4gzuq\nWlmsu37GbHW5vXjE3zaQUE2SAZ8qY3I4glccm8Dxo/uwfzRSM2DQaylH2j71g36OEEjnyrg0n8W5\nmQymk7WltOrPYbZoIFT1HY4Efd73cSCiwbT6N5BGRP3D6/XWq8/6dZxKoKZQMrGUKUPAXYNRIFMw\nYdkCkZAfg/EA4hENQlQyhURdpqiqVu7Dml9BcqX5+juu9V6vV32PqM5SUlbv/Yqy9gyQKeje86NP\naR5M2EvPle1+V1mS8JJbxvqWHdTJea9/pszlDdi2g5F4EJMjkZr1u1qVzu2EZTn47uPT+O5j0zh5\nYQkX5jKYTeVxbnaF2ZJE66gvUdlNidvqihQ/PDmHh5+cxcW5TEOpdSLa/Rho2kaPP/64F0iZnJzE\n2NhYR+/z+Xw4duyYVz7viSee6PkYTp06BV1fK4lw++23d/ze48ePA1gLBj322GM1ry8sLGBubs7b\nppt9v+AFL4Dfv3YTq983EW2Pbmqg91ov/cBYDImohsF4oGEdlZBfxUBE40DwJnDPlzv7uJpb+g6o\nzSKpX2PDDfBMDjefTeoO7sTDGuIRreH8uoND7ufVBxo2MvjIuuK7T/VAmCMEZpOFmtI7Qb9aU0qr\n/hzWf5erZ7FLMjCWCLPMDtEOxOv11ms2kSMR1RDSVBiW7WWol3QLhln5+wc0BfsSIe//60vgAps7\nOah6n9XXd7d0b/V6P5YlvBK/8Ujjs+lee65c7xndzQyqf77bqntjqwx0Vy/BZscReOjJWVyczzWU\n8JtNFpDO6z0HsIj2gl5L3DabyFAomTh7OY2fnu5sTV4i2j1YOm+blMtlXLlyBUAlCHP06NGu3n/z\nzTfjxIkTAIBCoYDp6Wns37+/6+M4e/YsgLXSdt0cx8TEBKLRKPL5PADgzJkzTfft6mbffr8fhw4d\nwnPPPQchRMO+iWh7uA+YnZSc6Gbbaoos4bZbxnDlahbCsjGfKqCgWwgHfBgbDGFiuPn7Oy2FwZIZ\nzbnn6+pSEQvpIkxbwKdINaXvgM5Ky9SX1XPFI34UihYGIhokCTg0HsPlxZxXni8W9mFkIOB9Xv3A\n1EYGH3st5Ujbp/p75K7v5XKDzsDa7Ob6c+yWSXLVz2IPaEpHZXaIaGvxer313IF7Rwhk8jqyBROS\nIsO0HTi2QLFkIqSpKOmV+6zfp2A4GsDkSASzqQKEqAT7q0vg1k8OGhkIYjqZb3kMIwPBro65+h7h\nU9au9yFNBQQQDFSGOoQAdMvG5YUsVEWGpioolSvPlQFtbz4D9vqM3on65+yyYaNYthAMqJCa7HZk\nINhQGllfDQQlMyXkiiYiQRXZogHLElBVCYloAI4jujrO2VQBsy2+fyXdQiavN5RsJrqW9dIn7qXE\nbbvy5emcjlkFLScp9vv4iWjzMdC0TWZmZrzgDlDJaOrG1NRUzc+XL1/uKdA0PT1d83O3xzE5OYmz\nZ89CCIHLly833bf7e/byO7rBqsXFRRiGUZPl1Iyu6/jGN76BH/zgB3jmmWewvLwMy7KQSCRw4MAB\n/NzP/RzuvvvujrPHiKhRpzXQu922miJLODQRR0xTOprl1Gztnma13Jttly+b+OnZBfz4GQdjifCe\nHXRwH9YBtAwyAZ3NSm41gHFobBRLmTKypcrfPxENoFC2UDIsBDUVkyNh77OazS7eyOAj64rvPtXf\no4efKkCGVCm7GNYqwcqqvPz5pULDOY6HNSQzayV76mex85wT7Uy8Xm893bC9zNGSbkGCBE2WMRDR\noCoyMrkyNFWGLFUynSaGwkhEAzXrM/pVeTUo4Gs6OeiW6waRypabrtcT1FTccl1n5dtd1feIUtnC\nbLLg3SNiYT+yRR0rOQPJlRLCQbXhmSYa9jVd62ev6PUZvZ1mz9lDAwGkZzLQczYGolpNsCnkr5z3\n6oFo4QCGYSNbNGDbAiXDQiTow2CssnSAYVXK6J68kOrq/M0vFZpm7bsyeQPDMWZL0t7Qad+5leqs\nQneCQiZveH3IUtnyrv3rVqRIFbsONLnHv5IzsJLXkSnosCyB05eWMTkSwateOAlVZQEvou3AQNM2\nSaVSNT93ui6Sa2hoqO3+OrW0tNR2v50ch1uLe2Vlpe/7dgkhsLS0hPHx8Zbbf+9738OnPvWpmr+F\nG8hbWFjAwsICHn30UXz2s5/Fm9/8ZvzRH/0RVJVNgKgbO3XmULuZUtWzquq3qx5UAQCfoiAR0zp+\nyL5WVHc2An4VAZ+CkmEhuVJGvmR5AaBuSsu0GsBwz4P7Hbpp/wBkWYLtODBNp+13aiODj62yrIC9\nVzJnN/G+RyMR2KL1AJFu2A3neCCiIV8yvUCmW/4R4Dkn2sl4vd56ml9BKlVqCAJJkoRoyI9IQMUd\nL57C/FKhYcKHJAOJmIZErFJq7/jRfU0/Y/9oBLdcl8CVhVzNgGQ84sfBfbGeAh7uPWJyOIwnzidX\n960jlS3Dp0iQJQljQyFMjUZqJs0AjbPuaeNalWAcGwohnS3DshxoPsULCB4ci2L/aAQ/PbsIoBJk\nmknmYdg2LNuBYTowLBuZfCV7aSDihyRVvjPdnj/dsBsynauZtmC2JO0ZnfadW/X93XtFfV8aAAyr\n8m9uMNitOFGdMSsrMnyqgkRUQ9DffUBoNlXASs7ATDJfk1llWAIX57MABO588f490Y8n2mk4yr5N\nstksgLVsn0ikuwdcd3s3kJLJtB54a6f+fd0eRzi81tGzbRu5XA7RaBTA2u/Yj30DlWNtF2j6zne+\nA0mSIEkSVFXFvn37EIvFsLS0hMXF1YdXIWCaJu6//34888wzuO+++9bNkiKiio3OfNpMnazds380\n0rBdfTmuTEFHIlZbjmsvDEBUdzaqZydnCjp03Yau23je9UN9CShuZAbtRgYfN7NMDG2+TrLZmp3j\nbgKZtL6dOtmAri28Xm+9fYkQTjy7gFzRhO0IKLKEeERDOOjzBvabZY7WazfhQ5YlvOiGEYwOhDbl\nvEpCAoS0+v+Vf8uXTETCvpbvYam0/mr2PC5Llee+WMiHkm5j/0ik4by7A9EreR0lw0JIU6EbNgql\ntcFsdw2woXjQmzjSzfnT/EpDpnM1n9JYspnoWtVJ33lyONyy77+4XMRwItjQl3apqlRT2jpfNhsy\nZg3TxsJyEUGf3HUpzPmlgne9aGY2Wdgz/XiinYaBpm2i63rNz5qmtdiyufrgSP3+OmUYtYN1/TgO\nN9BUf0zdBnQ6/R3djCpJknDrrbfi937v9/DKV76y5ne5cuUKvvjFL+LLX/4ybNuGJEl49NFH8ZGP\nfAR//dd/3dVxEe1Vnc582g6drt1Tv10mX/v71JfU2CsDEPWdjerZyUBlvYOd8HfY6ODjZpSJoa3R\n6eAmz/Hm2cmTDejaw7a8dRxHYClTRrFswbIdAIBtA9migbJh48C+KAYiWtPM0WqdZJtVZyC59/JL\n81kviNVrwGk2VUC2ZNQ8uwDA+ekMdMNGJq8jEQ00vG+950fqTqu/pyxV1lUajkl4xbGJhtfdySSZ\nQqW/L0kSElENhZIFYVUm5qqKDFWRa8osd3P+xofCKJQsL9O53tRIhNmSW4gTV7ZXJ33ndn1/n6p4\n5fKaiYfXgsHjQ2H89OxC04AUAPh8ctfjCLphe9eLZkxb7Jl+PNFOw0DTNrHt2gu7onSXpl2/vWW1\nnuXbzXFIzVbobKO+9Fz1cWz0d6zft2maNT/LsoxQKASgctzveMc78N73vrfpvg4cOIAPf/jDePnL\nX47f//3fh+NUFhj9+te/jje96U247bbbujo2or2o2cyn6prMV67mcORgom+dBNsRmF7MYTa5fgek\n07V76rcz7drAkqrW7nevDEB0GqjbCTj4uDexlNb228mTDYiod26QZmQgiEzeQMmwYAsBVZER0BRE\nwj7IktQyc7TbAeLNCFq3mp3vlkrL5I2mgSaWSuuvXtfSdCeTVE/4kiQJoYAKvy0jEqqs+yVJUk0J\nxG7On/scAURq1nRRVQlTIxH84gsnGeDYIpy4sv06aavtsp4GIhqSmWJDXxqorL02sJp16E5Q+PEz\nTtP9hAM+DKxmzHbzDKn5lbZrrvkUaUf1X4n2Egaatkl9EKU+KLOe+u17XWuo/n1uKb9O1Qe4qve3\n0d+xft8+X23Zg/HxcTz++ONd7fPOO+/Eu9/9bnzmM5/xfs/77ruPgSaiDtQ/rNXXZJYh9a2TYDsC\nPz19FTNXs3BWsxbb7bvTbIf67XxKba12d/aVa68MQPQ6MNAMZyjSZmApre3XaYlSItpd3LY9ENFg\n2g5CQbVS2kir9OVWcgZCg8G+ZY5uRtC61YCiWyqt2WAo0L7UH3Wv19KKbhCofg2loF+FbtkIrX4X\nfUrj2p2dqn+OGI4H+ByxCTrpB3DiyvbrpK1ems+2fF2SgbFEGNGgiYV00QvaxsMaBiIapNVll9wJ\nCmOJMHyKUgnwOgJ+X2Vd5MFYAKWi0XVQaHwojNOXlluuuRaP+PdMP55op2GgaZsEArUzqrotfVe/\nff3+OlVfKk/X9a72VV96r/q99fuu37bbfXdb1q+Ve+65B1/4whdQKpUghMBPfvITGIaxZWs1SZIE\nufv1Dom2XVBTa4IRKzkdZd2GhEqnweerfLFX8jouX81hejGPiaEwxodDmByOdNSBcwPAV65mkc5V\nrnP1izfniibmlwvYPxr1/m3/aATL2XLTTks84sf+0Yg3MFK93UBEQ3KlXPn9ApUH3urPmxzZGx3P\nyZEwLsy27kxMjlQ68rOpPOZTRZRNGwGf0nBuHUfg6Z8t1ZyHsmHj4nwWy9kyjt3AGYr9VD8x5Fq/\nv8iyhINjURwci66/MfWdYTkN1+OG13dw+95r7YWoU27bTsQ0FMomSnrtgJ9p2RiIaN6z1EYtLBfb\nXksWlotdX+frn1Fd7u9kO6LhM6ufD6k/On0eryfLEl504wgcR+DUxWVYlgNVlTEyEEC+aKJsVLIh\nBiJrz+m9nL/Neo7YK/eXShCpdV+g037AZlwDqDudtNWF5SLyZRMrOR2ZguG1y3jYj4GohlBAxeGp\nGC7Mtl4Hz+1LhwIqIAUwFK+MF4brJncGNbWrtrx/NIKp0QguzuUaXgtpChLRwJ7px9O1r9vKY9uN\ngaZtEovFAKx9YfL5fFfvz2YrA4JuBlIikejpOOLxeM3PuVyuq0CTexxApTReJLI286TZvrtRvW8A\nPf+O9cLhMI4fP47vf//7AIByuYxz587h1ltv7cv+1zM4yJlztDsdOWzj7OW09/Pccsmb7QoAo4kg\nUlkdxbIFSZZRNBxIqoKrKzp0G7jtljEoHT7szSxWron1D6GunO5gaKh2pturhiK4cjWLmcU8yrqF\ngKZiajSCA2Oxms+t3i4S1qD4VPh9MgZjgZpOz2AsgOffvK/jY97NBhJh6Da84F61wVgAt9w4iifO\nLCCd0yGpCoJqZYZY/bm9OJeBBanpebMA5E0HhybiDa8ZloMTz8zj2YvLKJRMhIM+HD00iOO3jsOv\nXoM99U3C+wttpuHBMAols+Xr4aCv4bq8E9mO6OheQbRXVLftm8MalrNlpLM6LMuGqiqYGAnjF48f\n7Fv7UP1LCKtrM80dIWo+0+9XceTwcFdtsv4ZtdrNYQ2xsB9CgG1+C3T6PN7Ma4YiSAyEap5H3e+H\naTqYGA4jFPTt+PN3LT6PudUm2vUFrlzNwoKEYMiP5UwZ6ZwO07LhUxWUTAeHdBuHpwYargH1FFnC\n0FCE9+tN1qytTqyWoj4zm8VywcCZy2moioRwwAefv9Lvz5YsWAJ48dExXDcRb9uHdPvSNx2y8ONT\n81X3lpKX0RQOa7j5YKLrZ8hff/URfPN/f4ZnLi0jmzcACMQiGgYTIewfi+P5N3c+9kBE/cNA0zYZ\nHR2t+TmVSnX1/vrtR0ZG+nIcS0tLXe0rlUpBkiQIIRre18/fUVEUDA0NdfX+dq677rqan5eWlvq2\nb6Jr1YGxGBaXi96DpGmtzXgNByozmYrlqvWPql5P53RcuZptGmRoptymjFur1xVZwqGJ+LqfUb8d\nOzGVv4nbQWz2d6jOMKtXfW7dAGErM4v5hvNjWA7+7TtnsJguef+WLRj4yamruDibwf997REGm4h2\ngKnRSMuBXPf1na56oMxVKJk4ezmNxeViVxMiiK4V1W1bliQMx4MYjge9128+mOhruwhoqhfYcoTA\n5flszfOj44iu22T9M2q14XgQ/+fo3pg4tBN0+jze6r31z6NhzYej1w3uqefyrWA7ApfmMnjyXBJX\nlwoAJIwNhfDCG0dw3US84W/dSV9gZjFf06aFECiUTBR1C5fnM7g4l8Fvve4I/H4FpXLrvl5AU7u+\nX7M/171mfeLqv7kjBCzLQbFso6zbGIoHvInybkWT9fqQiizBdgSuLhUxu5jHcrYM23agKDKWsyVk\nB0J40ZFRHBiL9XT8o0Nh5MpmzeQIWZbQevUmItpsDDRtk6mpKSiKAseppIHPzMx09f7Lly/X/Hzo\n0KGejuPAgQM1P8/MzODIkSMdvVcIgenpaQCVzKz6Y3D37d6Muv0dL1265AWxJicne16Hqpn6Mnz1\n60ERUaP6B0nNr8Bx4M1GujBTW+fZVzdTrVmQoZXqQYhWr/fLRjrE15J2f4dOA0jrBQiLJRMX5zI1\nHZHkShELy8WmKeGL6RJOPDOPnz822d0vU4edT6KNazeQOxgL9DRI0G3b3Ghb7jRovtfxmrm3bEbb\nbqc6sLWcLdcEmQAgEa3007ppk50MdtLuwOfyzWc7AidOzePJc8ma9ndpLovF5SJeeNMojt9aG8jp\npC9Q1i0sZ8pekGkpU4ZRNfEwk9fx46fnEQv7oapyy/J5U6ORru7XnETSH/V/85WcgaF4wAsWFnUL\niWjA6/vPpQo4PDWwbpu9NJfBU+eTUGQJodUyp7YtUCxbyBUNDMcCPZ2fK1ezyOT1hskRQOW7xmc6\nou3BQNM2UVUVN9xwA5577jkIIfDMM8909f5Tp055/z80NIR9+/b1dBy33HILgLVg0KlTp/DqV7+6\no/c+99xz0HXde2996bmjR4/WDBx28zvmcrmaIFa/y9ql07UzcvtVlq8Ty8sFCME5FrR7xTQFt+yP\nI6rJ3ro+paKBfFGHcKq2C6ooFNYeVkslA0tL7TspkiRhcDDsDUJUv7/a2IC27r6of1LLBThO6+uW\ne24tw2q6RgJQmRW3uFzElflMTZ3v6YUcVKVSurBZsOmJZxdwdGqtk7BeffiGz3UETp5P1dQgz+aA\nxVQeFy4v7+p1o9z24uL9hTZqvfZ1/b4IZhU0eT2MlXSh68/qpG26xzSbLOD8bAam5SAe8XtrdXTa\nliVJqhkoa3Z/OXMhhZi2txePvpavmdRaQ9v2qzhy/ZAXpOnn/SXik6FCIFMwcDWZh2GuPTyGNAWa\nKnnts9s26T6jVuv22kTUrd32PHb5ag4/emoWc8kCbCGgSBKCARUhTYWuWzh1fhFBFTXr4XbSFwj4\nFFxNVdp0oWyiWDdpUFEkXE3loalRFIoO/E3K58UjfkR8Mn56ZhFF3YIjRNM1gmzT8q4N04s5zFxd\nW3bBEQIreR2ZvAHTdvDcpWU8//Bgx2sG71VnLqRq+nGFgg5HAD5FRjzkh98nY2KwEtApFQ3oZbOj\n/vgjJ2eQzlTWRHb3VV1+//89PYfBcOt1njo93mav7/VnOro21N9jdjoGmrbR7bffjrNnzwIAFhcX\ncfnyZRw8eHDd92WzWZw5c8YbkHvJS17S8zHcfPPNiMVi3vpJP/nJTzp+r7utu05U/XHE43HccMMN\nOH/+PIQQXe37xIkTXrZXs3278vk85ufnMTw83FWw6Nlnn/WypYDGzK7NJIRo+5BGtFuMD4axmC55\ng1GqLMFYbbdBTUUs4odT1ckKqMq633134Vx3dm3lAbf2PQNhDeODYbajLeRX5bYP8u653TcYwoW5\nTNNtlrMlLGV1KEpVmQvTRq5oQpIl+P0yIkF/w/sKJdM7144jcPJC7QBo3nZwbiaDxXQJxw43DoBO\nL+aRzreYEZnXMb2Yx/5dUPKrmfqFpnl/oY3otH1NDkcwOdzYZrr97nXSNieHw94xpXNl5FcHrRbT\nJeQKJqZGIpDkztqyLDeWXa2/v5R0a8+3oWv5mkntVbdteXWNFFe/7y/Pv34Is6kCLs1nAQnwKRLi\nET/ikUo2k9s22SZpN9hNz2OOI/DjZ+YxlyzAsiv9NgsCuYIBXbcxENWwktMxmyzU3Os76QvsGwzh\nifMpCAgUyyZ004JhORACkCQgHvZjOVeujB8BGE2EAFRKsAc0BeNDYUyurhFU0i1YjoPZZAGlqs+1\nTRuLKyUUSiZuu3kUsixhNlmAIwSEA6RzZVycz6Kk21AUCUG/ijkUUDJMmNY8xhLhms9i4GlNaTWw\n51IUCba1NhHANJ2u+/YAsLhcgqgqZueW3XMl06We2kv98TZ9fYe2Q6Ju1N9jdrpddrjXFjdzyA0Y\nffOb3+zofd/+9rfhOI4XJHnd617X8zHIsoxXvepVEEJACIGnn34a8/PzHb33W9/6lvf/sVgML33p\nSxu2ec1rXuMdZzKZxOOPP97Rvqv/FoqiNGRZ/fjHP8btt9+O2267Db/8y7+Mz33ucx3tFwAWFhZw\n+vRp7+frr7++r+s/Ee0Vsizh2OFhHJ6II6SpSEQD8KsyRgYCmBwJN5RDGB/qfBaGWwLl8GQMIU2F\nIlVS7Q9PxPGCw0PsFGyx9c6d+/rkcBjxcGOwCADSOaPpeVMUCbbjIJtvXioxGFibEzObKtQMglfL\nFAzMphpnLc8vtZ/JvN7rRHtFL+1rIzppm9XHlMnXHlvJsLBSFRDppC2vV3ZV83PmK6+ZtBVkWcL+\n0QiOHEzgxqk4rhuPIRENNDw7sk0S9VflvmrCbjIAb1g2SmULliWgG3bNa836AsIB0lkdF+eyOHNl\nBQ+fnMNiuohkulKKs2zalQAQBCRIyBZNpNJlpLM65peKmFnM48JcBudmV1AsW95933EENL+CTF6v\nCTLVH+tjzyVx4tkFPH1hafUYlnF5IYeibkFAwLId5EoGLs5nsZguYyVvYClbRlG3cGEug5MXUgxE\nVKm/3sYjtX06Ve29b99Or2dgvfsD7x9E24OBpm300pe+1MukEULgX//1X1Eul9u+x7ZtPPDAA15w\namhoCHfccceGjuM3fuM3AFQCXrZt4wtf+MK673nsscfw+OOPQ5IkSJKEX/u1X2u6htKv//qvQ5Zl\n73jvu+++dfc9MzODb33rW96+77jjjoZA0K233opyuext8/Wvfx35fGdltP7pn/4Jtm17mVhveMMb\nOnofETVyBwqOH92HX375dTh2w3DTgYKBsObNUOuUIkvYPxrF8aP78IpjEzh+dB/2j7LkwXZoF0Cq\nPrf1wcfqAKEqy2hWij0aquy3bNqNLwK4cWrA+/9eBkDrO8rdvk60V2x1gKFZ23MHrS7NZ/H0hSU8\n/NQc0rkyHCFg2o1DEZmq8nedtOWpdTJx+jVospvxmklbqdOJLETUH/NLBfgUqeWaOCXDgqpKDYP0\n9X0B4QAzyTwWV0pYyeso6SbyZXN1DR4bpuXANB3IkoyAT4WqSDBMG7mSgelkHpmCgbmlApazZcyl\nCnj28jIKpbUA0L5EqGGCictxBJZzBh56YgZPnV/Ccq6Mq8tFpDJlpDJlCIFK+b6ShXROR65oYDlb\n+feVvO49Zzx2Jolvn7iC6cU8A05ovN7GIxqCVRN04uG1dc676duPDATbvj66zuut8P5BtDMx0LTN\n3v3ud3sBj1Qqhb/4i79ou/0nP/lJXLhwwXvPu9/97qYBntnZWRw5csT7784772y5z9tuuw233367\nl9X0pS99Cf/7v//bcvtMJoM/kcX5dgAAIABJREFU/dM/9UrPBYNB/M7v/E7TbScnJ/Erv/Ir3r4f\neughfOUrX2m5b8Mw8P73v98LBMmyjPe85z0N28ViMbzxjW/0sqVWVlbwwQ9+ELbdvvP7ta99DV/+\n8pe9wFc4HMZb3vKWtu8hos60CzIwC2l36+bcVgcfqwOEkgQIARRLFpYyZSwul7CUKSPgU6A1qdEO\nAMOxIF50w7D3cy8DoJztRtSZrQ4w1Lc9d9AqmSnBsBwoioRiyUJypYzZZAGq0ngPsay1gaFO2vKB\nsRgSUa3pa71MiLgW8ZpJW6nTiSxE1B+6YSMe8SPQYu0a2xaIh7WGQfr6vkC2aMB2HAR8CkIB1Rtf\nCQVUAAIBvwqfT4ZfleH3ySiUV8voAbDsSgm2SllcA9mCgenFPK4s5iAceJnMPrVxuFIIYDlbRrFs\nwjAdOBBQVRmZvIFi2YJh2cgWDJRNC7ZwYNkOJLmSFZ3OlbGYLnnPGQ4EFtJFZjetqr8ey5KEyZEw\nRgYCGIhoGIoFeurb33LdYE3AqloooOLWQ72tl877B9HOpHz0ox/96HYfxF529OhRPProo5iZmQEA\nnD17FqdOncKRI0cwODjobXflyhX81V/9Fb7yla94WTwvetGL8NGPfrTp4um5XA7/8i//4m0bjUbx\n9re/veVxHDt2DP/xH/8By7IghMA3v/lNaJqGG2+8EZq2WivbcfDDH/4Q9957L2ZmZrxg14c+9CEc\nP3685b5f9KIX4etf/zpKpRIA4Pvf/z50XcdNN92EUCjkbffYY4/hD/7gD/D0008DqGRY/fZv/zbu\nuuuulsf81a9+1csCu3DhAh555BHs378fExMTNX+Xn/3sZ/j0pz+Nf/iHfwCwtq7U3/zN3+B5z3te\ny2PfDKWSgR28NijRhkiShHjYj8mRCA6ORTE5EkE87G96nWr1/lBo7YGR7WXn2Oi5nU0WcGUhh5Kx\nVk/bEQKG5SDgVzE5FEYk5INtC4SDPtx6aAi/+MIJqFWdzIV0EabttPoIBDUVkyO1GQuOANK55uuN\nAMCBfdGWnZSdju2F+qmX9rUR9W1zJacjU1ybvTwY02BaDmynUv7Gp0gNpX58qoyB1cDRem1ZkiSE\nwxrGhyPwqTIy2TJsWyCoqTiwL4obp+KcEIFr+5pJnduq+4skSdiXCEFVZOiGDcdhm6TdZzc9jy2k\ni5BlCZbloFhuXMMmFPDhhTcO46apAQgBzCQLOHsljZ/NZbG4UkI05MeRAwnkigbCQR9W8jqqdyFJ\nEnTDhiJXxqEsW0CRJRiW7U0SliHBcQQsR1T6BFJl3R53zahYyA/DsjEYDVS2sx0Ip3LP96kycsXK\n31dVZIQCKnyKjEzBgOU4ME0By3GgKpX+g+NgdaKKBEcI2LZAtOoe5ghgKBaAbtpQFXlP39+aXY9D\nmoqb9yfw0lv24brxWNf9P6ByPm2nEvSzLAcQQDDgw/BAELceGsJ1+6J9O17eP+haVH+P2ekkIXbq\nLXDvyOVyeMc73oFTp06h+nSMjo5ieHgY6XS6Zt0kSZJw9OhR3H///YjH4033OTs7izvvvNPLOpqc\nnMR3v/vdtsfxyCOP4L3vfS/K5bJ3HD6fDxMTEwgEApifn0c2m605jve85z143/vet+7veObMGdxz\nzz1YWVnx9q0oCiYmJhCJRHD16lWk0+mafd999934xCc+0Xa/Tz75JH73d38XuVyu5m8XDocxMTEB\nn8+HxcVFpFKpmvepqooPfOADeOtb37rusffb0hJTs4laqV98mu3l2nHi9AIeenIWRpMSeX6fgle9\ncBLHb9nXdh/Tq7XcWzk8EW9YpN5xBE5eSDVde2YgrO3qbDu2F+qnXtrXRtS3zUvzWRiri05Xglph\nZHIGkpnKRCWfIkFVlZr1GkbiQSRiWkdtme2lM71cMx1HYDZVwPxSAbphQ/P3f6H1rfgMWsP2QtS5\n3dRe3Hu9IwRWcmXMpYrIlUxIAoiGfbj95n247cgoALS8F8TDfmQLBgSAc1dWkNdNlHUbtlMJKpVN\nC6osYzQRRFm3oVs2ljOV9ZYURYIkAeZqdhMASABCmg+RkA+jiSBG4kEMxwO4bjzW8FxyaT6LmWQB\nQghEQz6EAj4AQGqlhJJueccb1FT4VRm6aUMAUKRK4CngVzAQ0VAyLNi2gOaXccPkAAYiGsJBFceP\ntu+LUG+q7+GG5WB4MIyp0QgOjMWwki7s2PZCtBPU32N2OmY07QCapuENb3gDUqkUzp49C6ASaCkU\nCkgmk8jn815mkizLuPvuu/HpT3+6ZZAJWMtocsVisbYZTQCwf/9+vOxlL8NTTz2F5eVlSJIEx3Gw\nsrKCpaUlGIbhHUcikcAHP/hB3HPPPR39jsPDw7jjjjtw9uxZzM/PewGwTCaDVCpVs95SKBTC+973\nPnzgAx9Yd79jY2N4/etfj4sXL2J6etrbh2EYWF5eRjKZRLFY9P5dkiTccsst+PSnP43Xv/71HR17\nv+3kGU5E1RxH1MxiW0gX4QggGvR1NYupG7tpRiB1ZzqZh25WZps5lclsUBUZ4aCK0UQQg/EAptbJ\nloiuzpzUmwSrBsIabpyKN3w3r+XZbmwv1E/rta/DEzHMpvp3T6hvm1eXivCpMgZjGkYSQciShIBP\nRUm3KrOZIeHgWBTK6kzsgF/FwbEoDnbYltleOtPtNdMNTM0vVzLiBADTdpDO6VjJ69iXCG34mWEr\nPoNqsb0QdW43tRf3Xm+YDoKaD6OJEPaPRjA1GsFNUwm86KYRyLKEmWQB88tF733CqWQeLywXMbtY\nQDJTggwJV5eLlcyoqmoFluXAtAXiET/CQR80VYXfp1SeLyQAojFDORxUoa2W4bNsB+NDYRw5kGh4\nLkmtlFfXkZIRDdU+f9iO8O5ZoYAPiiJDAmA5lYCSQKU0oIDwjjegqTBtByXdQiTgw8Gx3rJrqL3q\nyhjXjcdw5Pq1dZ13cnsh2gmY0UQbcvbsWfz3f/83HnnkEczPzyOTySAej2N8fBwve9nL8IY3vAFH\njhxZdz+zs7N49atf7f08OTmJBx98sKNjEELg29/+Nh566CE89dRTSKVSME0TQ0NDuOGGG/DKV74S\nd911F6LR3m7CDz/8MB588EE8/vjjWFxcRLlcxuDgIA4ePIhXvvKVeOMb34jR0dGu93vu3Dn813/9\nF5544glcvnwZ2WwWtm1jYGAAIyMjuO222/ALv/ALePnLX97TcffLTp7hRORqN6M5Hvbj2OHhTRmg\n300zAqk7D5+cg+k4yOR1ZPIGTFvAp0iIR/yIRzT4ZBmvODax7n44q30N2wv1W6v2NT4YwtMXlzb1\nnnDi2QUUq7KVXMKpLN5dMizsH4n03ObZXjbHRjLhOr2er/cZh8ZikGWJ94U+Ynsh6txuay+dXHur\n78nuGoolY+0ebVo2DMtBtmCi/jIrhIBA5fng4L4YMgUduung6nIR5dXJI7YjvHK9qixhMBbwMpRk\nSHjdSw5g/2ik4Vink3mYlo2yYXuTl0u6haJuI180UDJsjMQDCGgKdGO1XJvtYCCiIZPXUTYchIOV\n9YL8PgUDkbUycPtHInj9Sw9u8l+fdlt7Idpuuy2jiYEmoi3GGyntBltdQsm13oPnRoMMDFJsn1aD\nyK6QxnIV3WJHrTm28/7binvCZn8G20v3uh2MbKbVtb2bCS3tPsMRAql0CaODoYbXNnNizLWO7YWo\nc9die3n45Bzs1aHCdFb3ythWyxUNL5tJrsos8vsUxMM++FQFzzs0hKvLRaRzZUSDfiykC5hJFmDa\nDixLQJKAcEBFJOT3gj4DEQ1v+oXDTa/d04t5nJtdwWyygGLZxEreqCnLLcsSJACKImN0IICBqIZo\n2I9cwcCpny3DNB0EAyoCmoKQptZkRDHQtDWuxfZCtJl2W6BJ3e4DICKinWd+qbDu65sRaGqn2aBU\nUbdwYS6DVKa07mDSRt9PGzM+FG47iDw+FN7Co6FrFdv55tiKe8LkcBipTKnl2kCTw7xGbKVO25Ju\nNJZarNbq9dlUoem5BoBMwcBsau071e4zMnkd2YKJ0cH190NERJ3R/IoX4M8U9IbX/aqMaMgPRZZg\nmA40f6U0nqYqiIX9GIhoGIoF8JJb9tXcTwZjAYSDfsylCrBsB5IEDET88PsqayrFI368+MbRps9q\nzmppPHc9pmzBQFE3ocoyVEVGIqLhhqk45peKKBkWBqIaEtEAACARDeDQeAyOA5TNxokLlXJ7HB4l\nItooXkmJiKhBrwNHm6mbQanNeD9tDAeRaSuwnW+OrbgnyLKEY4eHmY22Q3TalqoHI5vR/ErTf+8m\neNnuMzJ5A6ra+rtRvR9mOxIRNWp2bZQkyctUsqzGbJN4xI9M3gACPkQCEm7YX7t+uHCAQtnEiWcX\noBs2fD4Z4YAPjiNwaCyGoKbAp8qIR7SabKiBsNb0Oa06WDUSD8GnKFjJ6/DJCoKagkPjMSSiAUgy\nMDUSqZTc1S0MxyTvWh/0qyjoZssy3kGNw6NERBvFKykRETXodeBoM210Rv1OzNLaiTZrII6DyLQV\n2M43x1bdE2RZwv7RCM/RDtBpW+o1W7Wb4GW7zzBtgeFYYN39MNuRiKhRq2ujcIB0TkcipkFVJeim\nQKlsoWRYUGQJPkWCBAmFkgnTdnB+GlBVCfGwhnjYj9lUAZGQ6j072IYNwEY87MftRyrrcXfTJ6ie\n/CDJQCKmYTATgAPh/Zsko+b1YSnQsP7rhbkMEtGAl+lUjdUViIg2joEmIiJqsBPLnG10Rv1OzNLa\naTZ7II6DyLTZ2M43x068J9Dm6rQt9Zqt2k3wst1nxFdLNK23H2Y7EhE1ml7M49LVbNMMn8FoAJGg\nD6MDIZy6uATbEd7aRoblIJ3TUShZGIxpcCBgWALJTAlXlwsIByr7qFd9ve2mT9Bs8oOqSjBWs60y\neaMheFQ/CYbVFYiINp+83QdAREQ7z+RwGPGwv+lr2/Ugvt6M+c1+fS/oZCCuW44jML2Yx4lnF/Dw\nyTmceHYB04tc9JU2B9v55tiJ9wTaXJ22JTdb9fBEHCFNhSJJCGkqDk/E8YLDQy0nJ6w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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc7b2909e48>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 573,
       "width": 845
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.regplot(bootstrap.index.values,\n",
    "                 y='redcard',\n",
    "                 data=bootstrap,\n",
    "                 lowess=True,\n",
    "                 scatter_kws={'alpha':0.4,},\n",
    "                 x_jitter=(0.125 / 4.0))\n",
    "ax.set_xlabel(\"Skintone\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700"
   },
   "moveMenuLeft": true,
   "nav_menu": {
    "height": "85px",
    "width": "252px"
   },
   "navigate_menu": true,
   "number_sections": false,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": false,
   "toc_section_display": "block",
   "toc_window_display": false,
   "widenNotebook": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
